Performance Evaluation of K-RLE Compression Technique for Text Data

Abstract: The continuous growth of mobile, desktop and wired and wireless digital communication technologies has made the extensive use of the images unavoidable. The basic characteristics of image like transmission rate, bandwidth, redundancy, bulk capacity and co-relation among pixels makes basic compression algorithms mandatory. The research exploration in the field of image compression is huge. In this research paper we investigate the performance evolution of basic compression algorithms on image data. We are adopting RLE (Lossless) compression and its modified version of algorithm, named K-RLE (Lossy). The basic and proposed system architecture, design, complexity, and performance could be analyzed and compare using MATLAB Language, which is the quick tool to estimate performance of the system.

Keywords: KRLE, image compression, lossy, MATLAB.