Performance analysis ofImage compression

i m doing project on image compression named " Performance analysis of image compression using DCT, DFT and DWT in Matlab". in which i am compressing the image size using 3 transforms and at last i ll compare the MSE, PSNR of all 3. how do i start this project what are different steps, please help

Answer 1

[Walter Roberson]

The first step is a Requirements Analysis. What kind of images need to be handled? Is there a size limit beyond which your code is permitted to reject the image? What mechanism is to be used to indicate which images are to be used? Are there restrictions on the number or style of the graphic menus? Is there a limit on execution time of the analysis? If the images are to be displayed, then what should be done if the images are too large for the screen? Which algorithms are required to be implemented? For each of the algorithms, if there is a choice of parameters, then are there restrictions on the parameter values that are permitted to be used? What are the required outputs? Is there a need for a printed report? Is there a need for saving the output as images? Is there a need to be able to submit the output to a print queue? Back for choosing the images, is there a need to remember "recently used" selections so that the next time the user uses the program they can easily work with the same images (or same directory) again? And so on.

Until you know what the program has to do, you are going to have a difficult time writing a program that does it.

[Jitesh Bhanushali]

i got steps like get image» resize to 512*512 » divide into 8*8 blocks » apply dct » apply quantization » run length encoding » run length decoding » dequantization » inverse dct » combine blocks is this correct??