Enhanced Min-Max Procedure based on Block Truncation Coding for Image Compression

Dr. S. Vimala, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal (Tamil Nadu), India.
Manuscript received on 21 March 2013 | Revised Manuscript received on 28 March 2013 | Manuscript published on 30 March 2013 | PP: 198-200 | Volume-2 Issue-1, March 2013 | Retrieval Number: A0545032113/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, we have proposed a method based on Block Truncation coding (BTC) for image compression. The existing Min-Max procedure based on BTC is enhanced to further improve the quality of the reconstructed images. Images are decoded using three quantization levels by extending the size of the bitplane. The three quantization levels being Minimum, Maximum and the average of both are preserved for each block. Experiments were carried over standard images like Lena, Cameraman, Boats, Bridge and Baboon. For all images, the proposed method outperforms the existing method in terms of PSNR values.
Keywords: BTC, Image Compression, Min Max, Quantization Levels, Bitplane, PSNR.

Scope of the Article: Image analysis and Processing