Lossless-Image-Compression

This project was done for the midterm exam of Digital Image Processing course. Three Lossless Compression algorithms were used in this project which are Huffman, RLE and LZW.

Requirements

The only package required is cv2

Implementation

Algorithm Files

All the algorithms can be run by the same syntax:

python <folder of Algorithm>/main.py <image path>

Example:

python RLE/main.py images/demi.jpg

Other files

There are two other files were written to support this project:

• compare.py: Compare the images before and after compression.

python compare.py <path to input image> <path to output image>

Example:

python compare.py images/demi.jpg decompressed.bmp  

• compare_ratio.py: Run the selected algorithm on all the images file in the folder images.

python compare_ratio.py <code name>

Example:

python compare_ratio.py LZW/main

NOTE: The code name must NOT include .py, just the name of the code as .py has already been included in the code.

Another thing is to run compare_ratio.py on RLE, these two lines in the file main.py in this folder must be removed or comment before running:

cv2.imshow('Original_img',encode.img)
cv2.imshow('Decompressed_img',decode.img)

Otherwise, the running process will stuck in showing the images.

References

Source code:
https://github.com/iamleevn/Lossless-Image-Compression

Two other sources will be provided soon..