JOURNAL ARTICLE

An Improved Run Length Encoding Scheme for Image Compression

Arnaud SamsonV. U. K. SastryDept. of Computer Science & Engineering., SNIST, Hyderabad, India

Year: 2017 Journal:   International Journal Of Engineering And Computer Science   Publisher: Engg Journals Publications

Abstract

In this paper, we propose an Improved Run-Length Encoding (IRLE) scheme for image compression. Conventional RunLength Encoding is a widely used scheme as it is simple and effective but not suitable to represent non-block images. The IRLE which we have developed, combines runs and run values and it reduces the space required to store the image significantly. The compression ratio depends on the size and type of the input message. From the results obtained in this analysis, we conclude that the proposed approach is an efficient method for image compression and it provides high compression ratio and better compression percentage.

Keywords:
Computer science Encoding (memory) Scheme (mathematics) Image compression Compression (physics) Image (mathematics) Data compression Algorithm Computer vision Artificial intelligence Image processing Mathematics

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Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing

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