image-conversion

I have a working PDF to PNG conversion script using PHP and ImageMagick but I am having a problem with the speed of the conversion. I know it works because with a very small PDF the time taken to convert is not that great, but with a 250kb file (still not that large really) it takes in excess of 20 minutes to convert. Here's the PHP: //***** GET PATH TO IMAGEMAGICK ***** $path_to_imagemagick = trim(`which convert`); //***** PATH TO PDF TO CONVERT ***** $path_to_pdf = getcwd() . "/pdf/myfile.pdf[0]"; //***** PATH TO OUTPUT TO ***** $output_path = getcwd() . "/pdfimage/test_converted.png"; @exec

I have a requirement where user will upload their image and i have to convert it into something and send it to .Net REStful service. I am new to angular js. Could someone please help Jaanus Answer from here https://stackoverflow.com/a/24880314/625189 I would recommend you to use https://github.com/ninjatronic/angular-base64 . After following instructions for using this library, you can simply call: var imageData=$base64.encode(image); Don't forget to inject in your module: .module('myApp', ['base64']) You can use the angular custom directive to convert the image base64. directive.js myApp

I want to composite a number of images into a single window in openCV. I had found i could create a ROI in one image and copy another colour image into this area without any problems. Switching the source image to an image i had carried out some processing on didn't work though. Eventually i found out that i'd converted the src image to greyscale and that when using the copyTo method that it didn't copy anything over. I've answered this question with my basic solution that only caters for greyscale to colour. If you use other Mat image types then you'd have to carry out the additional tests

I am trying to write a function in Matlab that takes an RGB image of class unit8 and double and converts it to a YCBCR image. The transformation formula is below. I would be really thankful for any help of any kind. There's an Image Processing Toolbox function for that, if you have access to it: RGB2YCBCR If you don't have access to it, here's how you can do the conversion yourself: rgbImage = imread('peppers.png'); %# A sample RGB image A = [65.481 -37.797 112; ... %# A 3-by-3 matrix of scale factors 128.553 -74.203 -93.786; ... 24.966 112 -18.214]; %# First convert the RGB image to double

I need to convert an image from CMYK to RGB in python. I used Pillow in this way: img = Image.open('in.jpg') img = img.convert('RGB') img.save('out.jpg') The code works, but if I convert the same image with Photoshop I have a different result as shown below:- The only operation done in photoshop is to change method from CMYK to RGB. Why there is this difference between the two RGB images? It can be a color profile problem? SOLVED The problem is that Pillow does not know the input ICC profile, while photoshop had one set as default. Photoshop use for CMYK : U.S. Web Coated (SWOP) v2 RGB : sRGB

I have PDFs that I need to convert to images. I have installed Imagemagick. I have a PDF named a.pdf that I can open (it is not corrupt) in the folder C:\Convert\ From the command line I am trying C:\Convert>convert a.pdf a.jpg And I am getting the error. convert.exe: FailedToExecuteCommand `"gswin32c.exe" -q -dQUIET -dSAFER -dBATCH - dNOPAUSE -dNOPROMPT -dMaxBitmap=500000000 -dAlignToPixels=0 -dGridFitTT=2 "-sDEV ICE=pamcmyk32" -dTextAlphaBits=4 -dGraphicsAlphaBits=4 "-r72x72" -dUseCIEColor "-sOutputFile=C:/Users/MNALDO~1.COR/AppData/Local/Temp/magick-3704HYGOqqIK5rhI%d " "-fC:/Users//MNALDO

Many articles shows ways of converting jpeg files to grayscale using canvas+html5 at the client-side. But what I need is to convert an image to 8bit grayscale to reduce its size before uploading to my server. Is it possible to do it using canvas+html5? The whatwg specification mentions a toBlob method, which is supposed to convert the canvas to a jpeg or png and give you the binary representation. Unfortunately, it isn't widely supported yet. So all you can do is use getImageData to get an array of the bytes of the raw image data. In this array, every pixel is represented by 4 bytes: red,