Hybrid Lossy Predictive-Huffman Coding

Abstract

In the present world, a huge amount of information is stored, processed and transmitted digitally every
moment through multimedia. Governments, corporates, students, businesses, researchers, and individuals create, obtain,
process, store and share a wide variety of data through the internet and other digital media. Considerable amount of this
information is graphical or illustrative in nature and uses significant amount of memory. Image compression is the art
and science of reducing the amount of data required to represent an image. It is one of the most useful and commercially
fruitful technologies in the digital image processing domain. Based on the requirement, image compression can be
lossless or lossy. This paper proposes a hybrid lossy compression technique that exploits the properties of Linear
Predictive Coding and the Huffman algorithm, and gives appreciable results on a number of benchmark images