JOURNAL ARTICLE

Image Compression Using Proposed Enhanced Run Length Encoding Algorithm

Ahmad HusseenShakik MahmudRana Jassim Mohammed

Year: 2017 Journal:   Ibn AL- Haitham Journal For Pure and Applied Science Vol: 24 (1)   Publisher: University of Baghdad

Abstract

In this paper, we will present proposed enhance process of image compression by using RLE algorithm. This proposed yield to decrease the size of compressing image, but the original method used primarily for compressing a binary images [1].Which will yield increasing the size of an original image mostly when used for color images. The test of an enhanced algorithm is performed on sample consists of ten BMP 24-bit true color images, building an application by using visual basic 6.0 to show the size after and before compression process and computing the compression ratio for RLE and for the enhanced RLE algorithm

Keywords:
Image compression Algorithm Computer science Data compression Compression ratio Encoding (memory) Binary image Artificial intelligence Computer vision Compression (physics) Color Cell Compression Image (mathematics) Lossless compression Binary number Process (computing) Image processing Mathematics Arithmetic Engineering

Metrics

24
Cited By
1.14
FWCI (Field Weighted Citation Impact)
4
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

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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