HUFFMAN BASED LZW LOSSLESS IMAGE COMPRESSION USING RETINEX ALGORITHM
Abstract
image data compression is used in picture compression to reduce the number of bits needed to represent
an image compared to its original format. Picture compression tries to get rid of extra and unnecessary image data
so that it can be stored and sent more quickly. So, picture compression might make transmission faster and lower
network latency. when you choose a lossless compression method, the data stays the same during the process and
doesn't lose anything. This work presents a new 3-stage lossless compression method for images called Huffman
inspired LZW Lossless Compression of images using the Retinex algorithm. the first thing to do is use Huffman
coding to make the picture smaller. the second stage is to use LZW to compress the data and then connect all of the
Huffman code words to decode it. In step three, the Retinex algorithm is used at the compressed picture to improve
the overall quality and contrast of the image. “You can make MATLAB's compression rate (CR) or mean square
error (MSE) better by using this strategy”.
