Image Compression Using Run Length Encoding (RLE)

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Kamalpreet Kaur, Jyoti Saxena, Sukhjinder Singh

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.

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How to Cite
, K. K. J. S. S. S. (2017). Image Compression Using Run Length Encoding (RLE). International Journal on Recent and Innovation Trends in Computing and Communication, 5(5), 1280–1285. https://doi.org/10.17762/ijritcc.v5i5.694
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