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Merging images to the same width
The following code merges a blob image from mysql with a logo image to be shared on social sites.
The problem is that the blob always looks fuzzy, the logo looks crisp but is often wider than the blob image. This seems to happen randomly and makes no sense since both images are always the same width.
Wondering if someone could offer a solution which would merge both at the optimum social site (FB in this case) size, making them the same width and both crisp. No idea if this is something which can be asked, done in a question like this but thought I'd ask since my dev isn't around for a couple days and I need this fixed.
The problem is that the blob always looks fuzzy, the logo looks crisp but is often wider than the blob image. This seems to happen randomly and makes no sense since both images are always the same width.
Wondering if someone could offer a solution which would merge both at the optimum social site (FB in this case) size, making them the same width and both crisp. No idea if this is something which can be asked, done in a question like this but thought I'd ask since my dev isn't around for a couple days and I need this fixed.
$img = $image_data_row['image'];
$img = str_replace('data:image/png;base64,', '', $img);
$img = str_replace(' ', '+', $img);
$img = base64_decode($img);
$image1 = imagecreatefromstring($img);
$image2 = imagecreatefrompng('logo.png'); //800 x 150
$merged_image = imagecreatetruecolor(800, 426);
imagealphablending($merged_image, false);
imagesavealpha($merged_image, true);
imagecopy($merged_image, $image1, 0, 150, 0, 0, 800, 276);
imagecopy($merged_image, $image2, 0, 0, 0, 0, 800, 150);
header('Content-Type: image/png');
imagepng($merged_image);
Can you provide sample pics for both scenarios? Â (i.e., work, and doesn't work)
ASKER
This is about as best as I can explain it, the fb_problem image is how it shows up on FB.
Once shared on FB, the logo is full length and crisp while the blob is squashed toward the left and all fuzzy.
I cannot post the actual image because the project is not public yet.
The logo is always being merged wider than the blob so the blob always looks fuzzy and squashed toward the left if you will.
The 'preview' image gives some idea of how the preview looks on Facebook. The logo is wider than the blob, the blob  seems to be centered but once it is posted on FB, it shows up as the other image I posted and the blob is always fuzzy.
preview.png
fb_problem.JPG
Once shared on FB, the logo is full length and crisp while the blob is squashed toward the left and all fuzzy.
I cannot post the actual image because the project is not public yet.
The logo is always being merged wider than the blob so the blob always looks fuzzy and squashed toward the left if you will.
The 'preview' image gives some idea of how the preview looks on Facebook. The logo is wider than the blob, the blob  seems to be centered but once it is posted on FB, it shows up as the other image I posted and the blob is always fuzzy.
preview.png
fb_problem.JPG
I cannot post the actual image because the project is not public yet.Maybe create a test image of the same type (JPG,PNG, etc) and pixel dimensions? Â Then we have something to test with!
ASKER
Here is a good example. I used a ping blob we've got in the db and a header of 800x150 as the real stuff is.
In this case, the graph is pretty much centered but the example is still perfect. The header above is very crisp while the blob below is all fuzzy. This is also how it turns out when shared.
2015-12-19_113538.png
In this case, the graph is pretty much centered but the example is still perfect. The header above is very crisp while the blob below is all fuzzy. This is also how it turns out when shared.
2015-12-19_113538.png
While you don't need to post your protected resources, without some kind of example of a "good" and "bad" result, it is difficult for us to troubleshoot. Â Assuming your calls to imagecopy() are using values appropriate to your images, your code looks correct. Â That's as far as we can go without a case study.
ASKER
Not really sure what else I can post. There is no good and bad result, they are all turning out this way. Sometimes, they are slightly better than the last but I think that's simply the blob I'm picking. Â
I'm not sure what the blob sizes are but could find out. I've given the header size as being 800x150.
I've tried using a header of 500x150 for testing and in that test, the header is way too short but the blob is still fuzzy.
I think there is something about using blobs that is the issue.
>Assuming your calls to imagecopy() are using values appropriate to your images,
Can you expand on that? I've also tried using a narrower header but that seems to make no difference either.
I'm not sure what the blob sizes are but could find out. I've given the header size as being 800x150.
I've tried using a header of 500x150 for testing and in that test, the header is way too short but the blob is still fuzzy.
I think there is something about using blobs that is the issue.
>Assuming your calls to imagecopy() are using values appropriate to your images,
Can you expand on that? I've also tried using a narrower header but that seems to make no difference either.
ASKER CERTIFIED SOLUTION
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Couple of followup notes...
Knowing the dimensions of your images is important to getting a good result. Â If you're off by even a few pixels it can depreciate the resulting images. Â
Facebook will resize your images for its own purposes. Â The resized image will always look its best if you give FB a larger image. Â Don't pre-shrink anything.
imageCopyResampled() is almost always a better choice than imageCopy(). Â The man pages explain why.
Whenever your script changes the dimensions so that proportionality of width and height are not preserved, the images will appear stretched. Â This may result in blurring, as well.
The sharpening algorithm is something I have never explored for understanding. Â I treat it as a black-box, having found that it works well on web-scale images of a variety of sizes.
Knowing the dimensions of your images is important to getting a good result. Â If you're off by even a few pixels it can depreciate the resulting images. Â
Facebook will resize your images for its own purposes. Â The resized image will always look its best if you give FB a larger image. Â Don't pre-shrink anything.
imageCopyResampled() is almost always a better choice than imageCopy(). Â The man pages explain why.
Whenever your script changes the dimensions so that proportionality of width and height are not preserved, the images will appear stretched. Â This may result in blurring, as well.
The sharpening algorithm is something I have never explored for understanding. Â I treat it as a black-box, having found that it works well on web-scale images of a variety of sizes.
ASKER
Thanks for all the info. I'm trying to process this.
The header image was exactly 800x150, the red border was simply for me to know where I was when I was editing. I just tried it again using another image which is exactly 800x150 with the same results.
So, what seems to be happening, if I understand what you are telling me... is that first, the code needs to specify the image size absolutely, which it does for the header. However, I've not confirmed that this is the case for the blob. If the blob is off by even a few pixels, would it explain why the ping test image in this case would be fuzzy while the header image is always perfectly clear?
The header image was exactly 800x150, the red border was simply for me to know where I was when I was editing. I just tried it again using another image which is exactly 800x150 with the same results.
So, what seems to be happening, if I understand what you are telling me... is that first, the code needs to specify the image size absolutely, which it does for the header. However, I've not confirmed that this is the case for the blob. If the blob is off by even a few pixels, would it explain why the ping test image in this case would be fuzzy while the header image is always perfectly clear?
ASKER
Not sure what you mean by examples. I was explaining that the headers are 800x150 for sure but I am not sure what the image blob sizes might be.
not sure what the image blob sizes might beThis is something you would need to know in order to use the images productively. Â If you can post the contents of one of the image blobs we might be able to help figure it out. Â They get drawn from a database and assigned to PHP variables. Â Just print out the contents of the PHP variable with var_export() and post it in a code snippet here.
ASKER
Ok, can't seem to confirm anything. First thing I need to find out is how to view a blob as an image now.
This way, I can pull a bunch of them and find out if they are all the same size or not in pixels. These details do not seem to be included in the blob itself.
Or, even better, to find out how I can simply pull the pixel details from the blobs.
This way, I can pull a bunch of them and find out if they are all the same size or not in pixels. These details do not seem to be included in the blob itself.
Or, even better, to find out how I can simply pull the pixel details from the blobs.
If you've got BLOB data types in the database and these BLOBs are image files, you should be able to SELECT them from the database, retrieve the information from the columns and copy / paste it here. Â It's just a column of database information like any other. Â It will probably be returned in a clear text string, since that is how MySQL keeps data.
I do not know what might be in the BLOBs until we see them, so let's work on that part first. Â Then we can get into the details. Â Run a query to SELECT a column with the image BLOB data. Â Use LIMIT 1 in the query, so we don't waste time with too much information. Â Retrieve the query results set. Â Print it out with var_export() and post it in the code snippet here.
And in the future, never put image BLOB data into the database! Â The database should hold the URL of the image file. Â The server file system should hold the image file itself. Â Databases are not well suited to large, wide columns like BLOBs.
I do not know what might be in the BLOBs until we see them, so let's work on that part first. Â Then we can get into the details. Â Run a query to SELECT a column with the image BLOB data. Â Use LIMIT 1 in the query, so we don't waste time with too much information. Â Retrieve the query results set. Â Print it out with var_export() and post it in the code snippet here.
And in the future, never put image BLOB data into the database! Â The database should hold the URL of the image file. Â The server file system should hold the image file itself. Â Databases are not well suited to large, wide columns like BLOBs.
greetings projects, , I do not think that your problem is with any of the PHP image use functions like  imagecopyresampled( );
You say that the images from "blob always looks fuzzy", I do not think that is because of the gd image use, but because your lack of understanding of the "format" that was used to store these images in the database, I will assume that the database input (insert) did not corrupt the image data, Your formatting of the base64 text is likely the problem.
you get this code for image text data from the database as -
$img = $image_data_row['image'];
$img = str_replace('data:image/pn g;base64,' , '', $img);
$img = str_replace(' ', '+', $img);
$img = base64_decode($img);
the  data:image/png;base64 tells me that this was likely an image upload from a <canvas> to png conversion, or some other "TEXT" http transfer of an image data as text, because binary data is not TEXT safe for http text transfer (post). This text Data should have been converted to binary PNG image data BEFORE it was ever placed in a DB Table.
you try an make the db text you get, conform to the base64 standard by removing the begining portion of text 'data:image/png;base64,'
I do NOT know the format here, but this looks about correct.
HOWEVER this next portion has got to be off -
    $img = str_replace(' ', '+', $img);
This is something I'm confused of, , If I were guessing I'd say the it's supposed to get rid of the spaces -
   $img = str_replace(' ', '', $img);
Although for base64 + are allowed, and spaces are not, and for some other reason the + may have been replaced by spaces, but I don't see why?
But any added or removed or changed Bytes in the binary PNG could result in fuzzy, or off color, or distorted images.
Is there any way you can get the exact format used in the TEXT DB output? ? Or better yet, ask the person who did the DB inserts what was the source of the text that went into the db table?
You say that the images from "blob always looks fuzzy", I do not think that is because of the gd image use, but because your lack of understanding of the "format" that was used to store these images in the database, I will assume that the database input (insert) did not corrupt the image data, Your formatting of the base64 text is likely the problem.
you get this code for image text data from the database as -
$img = $image_data_row['image'];
$img = str_replace('data:image/pn
$img = str_replace(' ', '+', $img);
$img = base64_decode($img);
the  data:image/png;base64 tells me that this was likely an image upload from a <canvas> to png conversion, or some other "TEXT" http transfer of an image data as text, because binary data is not TEXT safe for http text transfer (post). This text Data should have been converted to binary PNG image data BEFORE it was ever placed in a DB Table.
you try an make the db text you get, conform to the base64 standard by removing the begining portion of text 'data:image/png;base64,'
I do NOT know the format here, but this looks about correct.
HOWEVER this next portion has got to be off -
    $img = str_replace(' ', '+', $img);
This is something I'm confused of, , If I were guessing I'd say the it's supposed to get rid of the spaces -
   $img = str_replace(' ', '', $img);
Although for base64 + are allowed, and spaces are not, and for some other reason the + may have been replaced by spaces, but I don't see why?
But any added or removed or changed Bytes in the binary PNG could result in fuzzy, or off color, or distorted images.
Is there any way you can get the exact format used in the TEXT DB output? ? Or better yet, ask the person who did the DB inserts what was the source of the text that went into the db table?
ASKER
I created another ping graph and stored it as a blob. Is this what you want? The raw code in the db for the image?
data:image/png;base64,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
ASKER
In the testing I am using for this post, we are using an nvd3 ping graph, converting it to a blob and storing it in the db.
I just ran a test to convert just the base64 test you submitted -
There are NO spaces in this base64 string, so I don't do that alteration.
If the other data base images are like this one, then they should not be fuzzy?
But I have not seen the PHP gd image functions make a good image file read fuzzy
<!doctype html>
<html><head><title>base64 image test</title>
</head>
<body>
<h3 style="text-align:center;">base64 image test</h3>
<?php
ini_set('display_errors', 1);
error_reporting(E_ALL);
$data1 = 'data:image/png;base64,'.
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1gQtHKVMZ0GwZu5rJ+RUXE3jnqOVyUALSTNAcuni6sPezCXxg1HItNJSAVMr/fKbPy7mUwLsC4XwC4jaNaI1AbEUESkAUigaAwCMsAelYY+3QPEmug4A8k+Y0WJn2NIFfC4RdYwcFs/ZzFoEPDypD00DgLQTWE/iacw4ELhqxTG8lcJnVu5NpHAjI+VbWWQI/IHCJEpC+0yWBA3Wm2VTQvJU9Tfiacwh8cNRyLTTGlICMZMBofc1q62dm7cOOEwPhfALS+z0CsRURjNqeykIJiGLRg8BxBK4jME9gZ8ixDpB2m2Yrwnk'.
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WKgREahATCVCYgrDDY9gY9uWHHGQtZTtkJlpSpZf/n2UFHyN+qXegKoBKQgRFq+xw+ASHju6wtBAFxcswS6ATuR9sMc8jJOKEu+6x7MBtI361XmOx3wJjXd5WM5z4ri2zb/vYJSGWZS8o3UUb3THY2dFtuD4uAtEuGz32jNey+UeQ/LgQkancibGUCwiGetaRQlEZoEBIIMxVrBLG4rDDYrhK2DAi8jWYf7itodrPJ3Y+bZgvAcwm8c9C8C/IZBwISHJiJNKPrhfqU84m2rk5mhdfCHBEBsR3/6QROoZmW8zaaPdj/QoRx'.
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NXCrI6ZxhkZxraV5Xuz3yNwi5M/XM9BkGNzFwEnif8vY6fvs/M8CR/1kwkBfxg2ECaafSi+mO6QPHUvfsfdkZ99IUbSdX7kg5ovECcqdsiMkUl1nv+jFMzum5nsDfl5WpQM6MDXMwAvI4JmfauKkSTZ2CNWwCMllChpdZGw36GpG3O7dhN5MzRv5XWXmZs4FKgXwZOw60xf9BYIZPxee5Gl/lO/EtbsQenhCcgiXt+GoC7yXwFBoiNk8zIN1qy+l0mrd9uq97NwXrXqFTNwXrkzRv5Fz4wqm5FfQ0CAHxfYAs0w6avv67'.
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zgYT8Xo26sWPtolIeJdfS8YL6ZuBfkHGkzaTZ3sKRS2IOMi2FyblFLx7KQfk3SsiIL7z8u/nDnB92f10Y//zdCDSdtMdYvNve2l6v/fEdCVlj+knx2kEdVGyTKE0WyLPUKea0W1Ar711FTll3EvzBMil5+eTyjugk5BNVSEgbkCYN32wFYprw6z0ZJJ13RXyyOsh3Umd7LH3O54MHaY71czZGQEZXNvx9biPycYIZWzRyfEAk+mEk3ltICetCRtvMqRrL16ebrteuNIERMaJXHd5Sv0HfwfCBW1Fph2Q39nKhEjLDT'.
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yECnPjNLg/Fj7kVc9yGWS7DfzPbD7Tt71ZPrnSbTrXtkE4VilrgN8CQkxCNKNR5u8bV8r7bXhp+RzJhwz3AyFN4r2Htc3J6jSgUr9Q1cU8OCPwOLhMnUJZemaV+IrqUZUo5KC+tVixMGeSlKeQoIiCpcz4C5Y457xgBmbW/J3Pk8p1iaJDcDcnN7NMsX5d+eFnvedsm+wOdtpd+qm0QaPMp+IVdlPqtvPopU/e9ONM4ljMgr8K8DTdBbyvrHL3Kuu4G8nLtMaq/PAR0W9ZW5BkGsm2k9en5mBLyuLCFBCQnDSlPyEf0'.
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AlZxex+J0fjdQdhzbnE45fe9oFtmTRutkP0vp/TxlL6XsqHQ9zjuEVX8RAFLg5xaYY4lNRug8xnsDdzmIds8nSUgw15E86UcqdTL2gk86h9cyQHZpZs5UxjfPKE+j3SJbjdhtgTdtZpNNzLIxzdrVRafXvCuR5zVhXvczNrqnW9HDk7p5tq+fpOwg1jiOFTaFsWlml31Y7+h047HV9wMgv2ag1/GwjWiR3QGAjK9DZ3ZcnPJlyof3o/W0U3jz26fw1unns/iLZ/FYmCcXp89/gF5eRofn86xFttnMbkvsMuIhR/Kk/8CK'.
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zjEUm+CO2peOyBwAi/BfjOMdhEtdp23ftu/7Tl/HO5K7M7k4tANnutTzlb8jZwjAvZ40/jXctAOzHCw7mIVsY5qWs9n/EWZ3S3wu85xFs8SBetBKUmRiK9xsHfVcDkCgNTMvZk05v4R77UvYMyl7FRvej0xam+BtyXsW9Xs4ai2nWnpx9aPd2RtjMkxZ5wgbmOown/VgaTNnT2Nc5CnTcLRxRhzf1AUhC0zxGhZTBLe5fOUIO9x1uxYBfEBbtnlWT/avcYBxTUTYOhh+Xjkn1jmkP44DnZ439ym8zDlAfHha2OV1o/zELvYI'.
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9r1J3ZqsnNQarFbxoCLbL2Xk+OVkvGrHJH1P9lQ86W98MjUt7VM9AFL7XD0ZvaCu0Z9LT74+xG6bQnxI0NfWnKDV4dOaVDYTkJTotlMyvGhOM6zFsnBeHVqS55PYhnPrA9ra8alLV2LIJ6CmyGVApRZZNQBZEt7/egAQlU2rxOZIiihXA4m4P1ex2yLvWWRnqADfO0NnRY/9IN2UPUrw4YvrAJBmTq6Sn/jvaVYDpZyVYoQJHXfW5UP83LMW2BncDntX8e8zofZTYtMlPC/ylqO6BSB1dcO+6///V+1k8n2+/0u8sJLT+XM8'.
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5M43egLIj6WZ/RtbsA7iOpZbcjA9Yy1mCQeorZzNPM+hWeZ7BfNIKwpkgEFCuwUiPcUK/Z4fMIIEP1OFb+TIEt2AonEpLx5hrxkah/oQ3sOxIg88r57qwjv81aw4L9Dd69QhejaBCIXRoEYZyrTWfR4dewisHnXJf0ENmk4ucimyMoZMwFmeiWem0LM5E18dS9MZAP9fEyAC9MkMmB8ge670IQaqVET8ZoO8lJz0KcHKs7Joprx18FTCXWbKzw9LPZ/Us52SnQy6+lgtDuXyuPLb5991qKpVBuyUPcrSOd5RLkTyUKZsWOeiRh'.
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s+8ChWE2kvfVwbvxIbj54VX917oZaP3ue/7adI/F9fIIXUqn14qAmyAGbjrloFXPsU8PUKBltGk9nbrKIl0z5YnPUT+pDBrkxtA8quTjHPLx+6TRqN9g1zN0+A2xVN7VQxh6GENJLJMbs7THJw8y6VV6wN9975n3OdVEs5PpUBuiH+T3+/I1hvetk/x+e2+tlZXsqyiYp/sxFGk5oaaxuNf6rOHPApgQ9bPkpDyAm8l8tqkB403tN16b+uByA3XQVYJO3UyJvwl9HL2KsTiScshXLoYSLHlsyr/vdEAUT+/jCXRiw/tgHC1yUf5'.
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VWUSo7RcqgVuHsVxCHlUOXwmlcnsi+QZkc/UMyJSziix/Fsm9QJCVJYZS65nHopnDKX0yg5pEUjjyaQbXstCuHLuWxzcLf9xlOh+pz6Lo3jubRkZQ/G0PZbaE0VMzlgMIpVQI2XcYR3UmnBlCy+G523h1M8SvpNF4Xxwf3p/OJ3ERqBTtkx6vlVCiEZl3EacWxU7mky0WscvHobQ7JTqMF69ciDzsVxz7ZKNMN7BVsFqzXALxV17L3prkcvj2RzXfF88WNIewvv4a9+g1e/Y0q3clOeUiRkz2y47Ugh6s1gEzdiVf/ZI/S2SM3'.
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wXkzEmBnOqddD+OqFCGpfDaZJoZRrJNv0Fwo1CrX/Ee/tYzk64yV6sKGrY6i7Noad67PZZDkgX8nOV5qMoTnUKI135LEaJ9djUy6VclCtXIqUS6vlnJ3SROq0gAbBXsFR3Ujv3IkYw1/l8JWz6fjFfL4c+TxHJk/G0AhOaxTSHyjUGnboPd6Xm68Vy0nNo1JPsFejkCJp0RT2+bkHXJyQixqtY4dcLDvrpPmRRDonpiJs6KEEmganUXlbLBUvpdIwJ53TQWmcfTaGlrlJNGuqRfQ1jYNazjEl06MMjisdQx62yUGW3BwckUzb5D'.
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Hgtor/rkcS9tImJtIlJeJ+JpR0T7Sg0RzxLFbs5Ld4mIG4MsVXvZ7x4m4DYTbvY34mutUfsZ69I5HCIx8MvHiA3dCbglwKKxXRaxa9olmzsxEQAE4GXDfaJ56gTS2gXT0cc/t2PLpIoEvsJiHF8J6BeLCUgnueUSEYVQS6Cj0MY3pG8JbkiGbHMSjsyAfTgoTmRyPuZ6/hkqY2mpRY8rbvJFQr1ocOTReJ+XguReuWJbaSLfcHDtaGxTBTJiJfjaJpj4J/roOnkLmLFm7xZ8yZHRtppQCLwYBwHOv/mHZLEPlrFdlxiJ9Ghw6ipl8'.
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252kHKdhbQZNlJmOEiZbef0L534FsXhnhPLoesspM/QOHCTldR5KieWOmia4wzxyiQjzY+l9mcO/DvX4wrbmJEapcj4x9s4sjSWrMRd1Lh30bjETj4mAsY63njqFTwPReNdsIrKm1Q+Hm3hFGYCrxnsuyoGD2bau5pxK052EE0AM4HfWXjrHg3XEgf++QYVC+2kO7ewLjUZfVkchybaSemrUYmMNyy7mXtRJ1k4jUJg/Q42I1OPmcAgjfIXbbw9x0LTPAvN9gQ2Y6amj0rNfDvux614lhm4bjNIqUxCvkalZbJO4xwbDbda8CzRqZxq'.
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Od1cIzLFxZIJG+k02siYoNI6w4uuhch6dJlRaicaHjL+rRAcS5xfYyMZOeReF5idWUfkHM5+vWMN3t63mrLGSwBcyrskKuTOtnBoq0zpMxY+Bb5zKt9dofPHYJkpmJ+Cab6PtpXg6HnHQMUKnGivFKJxBCslKsL8tvST8aPgnm/h6pIkLj63FfYtE5RKDthfjaft9HP4hMm7sVPRT+BwpmITOjqblRROfrXHQMd+gdomB3xTLX1+x8u1ynYvLZGqHRVOzxOA9FFpDdqSlqxTkt+olUY1EERpNvWS+QuYCGm4k3P1kfEiI/gq13W3'.
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YPR28/kXa12qenOffHeDgaXS/Dfm5ZqTljtVdvZAXfKLb6HxHZU0om4q/JyGqTrs43y0ctn+jNNuKdC9Z5Het8ttIH98V+d+WnXclew8Sy0zonPufgk0T7O3u/EN3Oifqo/Xph+eugqPoN0em87X3yMVtdj2h/StbXovvk6FoSibbdfB+t1nG0zr14PtNXsqagpvIc7+66Zqmr62mGxj7rGmH1bVb7PZxLRVf+FK/mh93/45UNsNrVyt5lb8focYc9w5fdNvu2LFsGx0uhHEfWsejqXLOPO+Kll+7yOl5m7vu5HrsKFwBhWx0'.
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qmj923eSif6zfvRH8/jxcmq9R/zs3bOHifbE5f7eSDySrbxnoJToq0a6aP3XZf+5cc1qarbLd8bWExm9PU2E/8G42OffJQMw3q67h5Fy8nUfjwGgcn01S2PRKn7R7SKZ2kUz9fp3W2zp7PeTj8JSfHrPNhsofmxXl9G4C8Y6BMVGmx+uxIH9mpT05WaTotN/t4ybrmRK5rh8drNL9sC0A8xRTbz/MvujmEi0Pz/OyY5KUBF29e5uAwrsh63Pypv5vDX3LyruVP6V6ahrmpn6NRY7XvTJ3aBXrHwf5EnZZv5FFt1S1JU9n284L'.
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ntk7tq/972f/bjZNkUfZzKbMepJ32NaVO84xTbX6PP61T1yQZP9simc9Und3deWzZFn3d2H4/d1/TMx+PZZO5j131Bez9snZ/JXSe6P++6P06dz8nO/VNPr0+J+HGUz/RkYCuc/yTyfkdPn4Akux1B+Ozh4JfoFONAYTFP4+TBc22SIAiCIAjC+UoiTzlI8PNYU7BSnkVLEM47FvNDFpODxj3n2hRBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEAThwiPhgn5dfB/r9929BJ7stnpiTyLLJmtzVy+7'.
'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';
$data1 = substr($data1, 22);
$data1 = base64_decode($data1);
file_put_contents('in64.png', $data1);
?>
<p>
Image below -<br />
<img src="in64.png" />
</p>
</body></html>
and the image was clear and correct , as far I can tell. . . . There are NO spaces in this base64 string, so I don't do that alteration.
If the other data base images are like this one, then they should not be fuzzy?
But I have not seen the PHP gd image functions make a good image file read fuzzy
can you change the setting for the nvd3 ping graph  to NOT do this base64 conversion  OR  convert  this from the base 64 to the REAL binary png bytes before you jam them in the Table.
If this nvd3 ping graph thing is javascript, then you will have to base64 convert to POST as text up to the server.
It's a really really bad practice to store images in a DB table, for performance reasons, you should store these as binary PNG files in your home server disk space.
If this nvd3 ping graph thing is javascript, then you will have to base64 convert to POST as text up to the server.
It's a really really bad practice to store images in a DB table, for performance reasons, you should store these as binary PNG files in your home server disk space.
ASKER
The mariadb server is mainly only being used for this function, not much else. It is dedicated to this because we have tens of thousands of images to keep track of. It is easier to use a database in terms of managing the sheer number of images.
I'll try to get you the code for the insertion part and post it.
I'll try to get you the code for the insertion part and post it.
ASKER
Also, yes, the blob image is always perfectly clear when displayed on its own. Once merged, it is always fuzzy.
ASKER
I don't think there is any transparency to deal with in the combining of images so this code may not be needed -
imagealphablending($merged _image, false);
imagesavealpha($merged_ima ge, true);
I have seen the transparency change an image gd output, but not so that it's fuzzy?
you say -
"blob image is always perfectly clear when displayed on its own. Once merged, it is always fuzzy. "
I do not have any more time today, and tomorrow is all about Xmas, so i can not test any, but I showed you how to get the Image to a binary file on your server -
  file_put_contents('in64.pn g', $data1);
so do that and then use -
  $img = imagecreatefrompng('img64. png');
for some file or other, and see if that can get an sharp image for a result and see whaer the problem is?
or you can put it here in EE and have these coders here to work over and pound into submission.
  MERRY Christmas you code fools  ! !
imagealphablending($merged
imagesavealpha($merged_ima
I have seen the transparency change an image gd output, but not so that it's fuzzy?
you say -
"blob image is always perfectly clear when displayed on its own. Once merged, it is always fuzzy. "
I do not have any more time today, and tomorrow is all about Xmas, so i can not test any, but I showed you how to get the Image to a binary file on your server -
  file_put_contents('in64.pn
so do that and then use -
  $img = imagecreatefrompng('img64.
for some file or other, and see if that can get an sharp image for a result and see whaer the problem is?
or you can put it here in EE and have these coders here to work over and pound into submission.
  MERRY Christmas you code fools  ! !
ASKER
I'm not the dev so not sure what this means. I pass this info on to someone who might know but as you said, it's Christmas time so not much time left.
just a quick note, the javascript does do the standard canvas to png with -
var imgdata = c.toDataUrl("image/png");
in the PHP code, this gets the png image base64 text from the javascript ajax -
  $imgData = $_POST['imgdata'];
There are no spaces in the canvas to base64 conversion, so you can do
  $imgData = $_POST['imgdata'];
  $imgData = substr($imgData, 22);
  $imgData = base64_decode($imgData);
and the sql with INSERT INTO will now place the binary png file bytes string $imgData into the clientsetting table.
- - - - -
with the php gd image code,
I do not think you want to change this image to a 32bit alpha channel with
  imagesavealpha($merged_ima ge, true);
I think the blob images are 500x500 ?
this code will stretch $image1 to a width of 800 if I am still thinking straight -
imagecopy($merged_image, $image1, 0, 150, 0, 0, 800, 276);
In all image enlarge operations like this, there is always a loss of image definition, because of the stretching, and pixel distortion, so this may be why they look fuzzy, this is especially bad for crisp text in an image (like the graph images in blob), where the text will be anything but crisp (fuzzy) if you do more than about 15% enlargement. I do not remenber any gd image cure for the fuzzy from enlarge, but there might be a function to "sharpen" an image in the gd set?
I am just talking here, but that's my opinion about the fuzzies.
maybe if you stretched them less, and kept their aspect ratio, they'd be less fuzzy?
var imgdata = c.toDataUrl("image/png");
in the PHP code, this gets the png image base64 text from the javascript ajax -
  $imgData = $_POST['imgdata'];
There are no spaces in the canvas to base64 conversion, so you can do
  $imgData = $_POST['imgdata'];
  $imgData = substr($imgData, 22);
  $imgData = base64_decode($imgData);
and the sql with INSERT INTO will now place the binary png file bytes string $imgData into the clientsetting table.
- - - - -
with the php gd image code,
I do not think you want to change this image to a 32bit alpha channel with
  imagesavealpha($merged_ima
I think the blob images are 500x500 ?
this code will stretch $image1 to a width of 800 if I am still thinking straight -
imagecopy($merged_image, $image1, 0, 150, 0, 0, 800, 276);
In all image enlarge operations like this, there is always a loss of image definition, because of the stretching, and pixel distortion, so this may be why they look fuzzy, this is especially bad for crisp text in an image (like the graph images in blob), where the text will be anything but crisp (fuzzy) if you do more than about 15% enlargement. I do not remenber any gd image cure for the fuzzy from enlarge, but there might be a function to "sharpen" an image in the gd set?
I am just talking here, but that's my opinion about the fuzzies.
maybe if you stretched them less, and kept their aspect ratio, they'd be less fuzzy?
To get the image size, you can use something like this script. Â See the screen shot using Chrome Dev Tools to learn about the image.
If you use getImageSize() the output looks like this:
If you use getImageSize() the output looks like this:
array(6) { [0]=> int(800) [1]=> int(276) [2]=> int(3) [3]=> string(24) "width="800" height="276"" ["bits"]=> int(8) ["mime"]=> string(9) "image/png" }
<?php // demo/temp_projects_blob.php
/**
* http://www.experts-exchange.com/questions/28901665/Merging-images-to-the-same-width.html#a41381854
*
* http://php.net/manual/en/ref.image.php
* http://php.net/manual/en/function.getimagesize.php
*/
error_reporting(E_ALL);
// ACQUIRE THE ORIGINAL IMAGE FROM THE POST AT E-E
$orig_str = 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';
// RECOVER THE PNG IMAGE FROM THE COMPONENT PARTS
$orig_dat = explode(',', $orig_str);
$orig_dat = base64_decode($orig_dat[1]);
// ACTIVATE THIS TO SHOW THE IMAGE
// header('Content-type: image/png');
// echo $orig_dat;
// die();
// USE THIS TO GET THE IMAGE SIZE
file_put_contents('temp_projects.png', $orig_dat);
$img_data = getImageSize('temp_projects.png');
var_dump($img_data);
die();
Now that we know the "blob" image is 800 x 276, we can incorporate another image that is 800 x 150 without any degradation to the "blob" part. Â Here is how to do that. Â The screen shot shows the resulting image, which is 800 x 476 pixels.
<?php // demo/temp_projects.php
/**
* http://www.experts-exchange.com/questions/28901665/Merging-images-to-the-same-width.html
*
* http://php.net/manual/en/ref.image.php
*/
error_reporting(E_ALL);
// ACQUIRE THE ORIGINAL IMAGE
$orig_url = 'temp_projects_blob.png';
$orig_res = imageCreateFromPNG($orig_url);
// ACQUIRE THE OVERLAY IMAGE
$over_url = 'temp_projects_800x150.png';
$over_res = imageCreateFromPNG($over_url);
// DETERMINE THE REQUIRED HEIGHT OF THE NEW SAMPLE IMAGE
$orig_inf = getimagesize($orig_url);
$over_inf = getimagesize($over_url);
$height = $orig_inf[1] + $over_inf[1];
// ASSUME THE WIDTH IS 800PX
$samp_res = imageCreateTrueColor(800, $height);
// FILL THE SAMPLE IMAGE WITH TRANSPARENT
imageSaveAlpha($samp_res, TRUE);
$empty = imageColorAllocateAlpha($samp_res,0x00,0x00,0x00,127);
imageFill($samp_res, 0, 0, $empty);
// PUT IN THE OVERLAY
imagecopyresampled
( $samp_res // DESTINATION
, $over_res // SOURCE
, 0, 0 // DESTINATION X,Y
, 0, 0 // SOURCE X,Y
, 800, $over_inf[1] // DESTINATION W,H
, 800, $over_inf[1] // SOURCE W,H
)
;
// PUT IN THE ORIGINAL
imagecopyresampled
( $samp_res // DESTINATION
, $orig_res // SOURCE
, 0, $over_inf[1] // DESTINATION X,Y
, 0, 0 // SOURCE X,Y
, 800, $orig_inf[1] // DESTINATION W,H
, 800, $orig_inf[1] // SOURCE W,H
)
;
// RENDER THE IMAGE
header('Content-type: image/png');
imagePNG($samp_res);
// FREE THE RESOURCES
imagedestroy($orig_res);
imagedestroy($over_res);
imagedestroy($samp_res);
ASKER
Thanks for all the info. I've been busy but will pass this on and update as soon as I can.
I saw your last post, and I was not sure about some of the PNG Image views I had for the file I made. So I did another test code for the base 64 string you gave in comment  ID: 41381854
This time I used your php gd function  imagecreatefromstring(  )   instead of the  file_put_contents(  )  .
And I got warning-errors from the PHP engine, that the function imagecreatefromstring  could not accept the string input because it was not the proper PNG file format, and the function did not return a gd image reference, it failed.
I wondered  about this because I was loading the file I got from file_put_contents(  )  into an Image editor I have, and it said that there were errors in some colormap reference sector, but the image loaded into the editor , looked just fine to me, and was usable.
I went back to the javascript code in your  code3.jpg  image, , and there is this line of code -
   if( imgdata != $graph_snapshot.find('img' ).attr('sr c') ) {
Which seemed awfully strange to me? ?
If the Image <img> already had the base64 string in the src , then why go through all of the trouble of creating a canvas, drawing the png image on the canvas, and then getting a base64 string form the canvas with  c.toDataUrl( ) . .
seems like a better way would be to just get the base64 string from the <img> to begin with as -
   imgdata = $('#'+type+'GraphBd').find ('img').at tr('src');
This time I used your php gd function  imagecreatefromstring(  )   instead of the  file_put_contents(  )  .
And I got warning-errors from the PHP engine, that the function imagecreatefromstring  could not accept the string input because it was not the proper PNG file format, and the function did not return a gd image reference, it failed.
I wondered  about this because I was loading the file I got from file_put_contents(  )  into an Image editor I have, and it said that there were errors in some colormap reference sector, but the image loaded into the editor , looked just fine to me, and was usable.
I went back to the javascript code in your  code3.jpg  image, , and there is this line of code -
   if( imgdata != $graph_snapshot.find('img'
Which seemed awfully strange to me? ?
If the Image <img> already had the base64 string in the src , then why go through all of the trouble of creating a canvas, drawing the png image on the canvas, and then getting a base64 string form the canvas with  c.toDataUrl( ) . .
seems like a better way would be to just get the base64 string from the <img> to begin with as -
   imgdata = $('#'+type+'GraphBd').find
ASKER
This question will be inactive for a while as the dev working on it is no longer with us.