A Novel Idea for Further Bit Rate Reduction in BTC based Techniques for Image Compression
S.Vimala1, K.Kowsalya Devi2, G.S.Abinaya3

1S.Vimala, Assistant Professor, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal (Tamil Nadu), India.
2K.Kowsalya Devi, M.Phil. Scholar.
3G.S.Abinaya, M.Phil. Scholar.

Manuscript received on 18 April 2012 | Revised Manuscript received on 25 April 2012 | Manuscript published on 30 April 2012 | PP: 126-130 | Volume-1 Issue-1, April 2012 | Retrieval Number: A0154031112/2012©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: Block Truncation Coding (BTC) is a simple and fast lossy image compression technique for digitized gray scale images. In this paper, a novel idea for further reducing the bit rate is introduced. The BTC and its two other variants, one being the Absolute Moment Block Truncation Coding (AMBTC) are discussed and the proposed idea is incorporated in all the three methods. A bitrate of 2 bpp is achieved in the existing techniques. With the proposed method, a further reduction of .25 bpp is achieved. The results of the proposed method are compared with that of the normal Block Truncation Coding methods. The proposed idea works better in terms of both the PSNR and the bpp.
Keywords: Block Truncation Coding, PSNR, Bit-Rate, Compression, Storage, Transmission

Scope of the Article: Storage-Area Networks