Improved Hybrid Algorithm for Image Compression

Computer Engineering

The most important entity in various fields is Image compression. In many applications it plays vital role. Biomedical is one of the critical & vital application. Compression strategies are basically separated from lossy and lossless. In the lossless technique the image is compressed without any loss of data but some information may loss in the lossy technique. In this research different compression approaches of these two categories are discussed and brain images for compression techniques are highlighted. Both lossy and lossless techniques are implemented by studying it’s advantages and disadvantages. In this study two important quality parameters i.e. CR & PSNR are calculated. Here the existing strategies DCT, DFT, DWT and Fractal are used and introduced new strategies namely Oscillation Concept method, BTC-SPIHT and Hybrid method using flexible limit and Quasi Fractal Algorithm.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.