JOURNAL ARTICLE

Image Compression Using Run Length Encoding (RLE)

Kamalpreet KaurJyoti SaxenaSukhjinder Singh

Year: 2017 Journal:   International Journal on Recent and Innovation Trends in Computing and Communication Vol: 5 (5)Pages: 1280-1285

Abstract

The goal of image compression is to remove the redundancies by minimizing the number of bits required to represent an image. It is used for reducing the redundancy that is nothing but avoiding the duplicate data. It also reduces the storage memory to load an image. Image Compression algorithm can be Lossy or Lossless. In this paper, DCT and DWT based image compression algorithms have been implemented using MATLAB platform. Then, the improvement of image compression through Run Length Encoding (RLE) has been achieved. The three images namely Baboon, Lena and Pepper have been taken as test images for implementing the techniques. Various image objective metrics namely compression ratio, PSNR and MSE have been calculated. It has been observed from the results that RLE based image compression achieves higher compression ratio as compared with DCT and DWT based image compression algorithms.

Keywords:
Lossless compression Lossy compression Image compression Texture compression Computer science Compression ratio Data compression Data compression ratio Artificial intelligence Computer vision Discrete cosine transform Algorithm Image (mathematics) Image processing

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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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