A Hybrid Lossy Image Compression based on Wavelet Transform, Polynomial Approximation Model, Bit Plane Slicing and Absolute Moment Block Truncation

Abstract

In this paper, a simple hybrid lossy image compression system is proposed, it is based on combining effective techniques, starts by wavelet transform that decompose the image signal followed by polynomial approximation model of linear based to compressed approximation image band. The error caused by applying polynonial approximation is coded using bit plane slice coding, on the other hand the absolute moment block truncation coding exploited to coded the detail sub bands. Then, the compressed information encoded using LZW, run length coding and Huffman coding techniques. The test results indicate that the proposed system can produce a balance between the compression performance and preserving the image quality.