Assignment 2 peppers.tiff and baboon.tif

ECES 680 
Assignment 2
 All reports should be submitted as PDFs.
JPEG is one of the most widely used image compression standards.
• Use the Matlab function imwrite to save the files peppers.tiff and baboon.tiff using quality factors of 90,
70, 50, 30, and 10. Compute the PSNR between each original image and its JPEG compressed version at
each quality factor. Additionally, record the file size of the image when it is saved at each quality factor.
What is the relationship between the image’s file size and its quality? What distortions are introduced by
JPEG compression? Why do you think they occur? At what quality factor do these distortions become
unacceptably strong?
• Write two Matlab function that implement your own JPEG-like encoder and decoder. The encoder should
follow the following process:
1. Segment the image into 8 × 8 pixel blocks.
2. Compute the DCT of each block.
3. Quantize these DCT coefficients using a user specified quantization table Q.
4. Reorder each block of quantized DCT coefficients into a one-dimensional sequence using zig-zag scanning. You can use ZigzagMtx2Vector.m that is provided to you to perform zig-zag scanning and use
Vector2ZigzagMtx.m for reconstructing the matrix from a zig-zag scanned sequence.
5. Encode the resulting sequence. For Entropy Encoding, use the JPEG entropy encode.m module provided. This function will read a matrix, in which each row represents a vectorized DCT block,
write a bit stream whose filename is always named as JPEG.jpg, and return the length of this file.
JPEG entropy encode.m is an interface for generating a text file, JPEG DCTQ ZZ.txt, and running
jpeg entropy encode.exe. For the entropy decoding, use JPEG entropy decode.m, which performs the
inverse functionality.
The decoder should reconstruct the image by performing each of these steps in reverse. Please comment
your code and append it to your report.
• Use your JPEG-like encoder to encode the image peppers.tif. First do this using the standard JPEG
luminance quantization table
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16 11 10 16 24 40 51 61
12 12 14 19 26 58 60 55
14 13 16 24 40 57 69 56
14 17 22 29 51 87 80 62
18 22 37 56 68 109 103 77
24 35 55 64 81 104 113 92
49 64 78 87 103 121 120 101
72 92 95 98 112 100 103 99
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Record the image’s file size and the PSNR between the original and decompressed image. Next, try changing
the quantization table and encoding the image. Is it possible to achieve both a lower file size and a higher
PSNR? Include the quantization table that you design in your report.
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