Optimum Image Compression Techniques with Data Transform Pyramid

Abstract

Digital circuits are designed and implemented with respect to time and area optimization. Particularly in the field of image processing, data is to be transmitted from source to destination with optimum conditions of quality and transmitting speed. These objectives are achieved in diverse schemes under different circumstances. This paper describes a method to deal with image compression techniques to explain various aspects of image quality improvement associated with quality controlling factors. Huffman algorithm is utilized by developing pyramid of data for encoding and decoding process. This algorithm is applied on pre and post processing architecture which operates efficiently in varying system band width conditions. Moreover, results acquired by developed code enable us to understand different important parameters those affect image quality.