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Information Technology Journal
  Year: 2012 | Volume: 11 | Issue: 5 | Page No.: 647-650
DOI: 10.3923/itj.2012.647.650
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An Adaptive Block Truncation Coding Algorithm Based on Data Hiding

Hengfu Yang and Jianping Yin

Generally, image compression using Block Truncation Coding (BTC) can’t provide high compression ratio and visual quality. A new adaptive BTC scheme is proposed by combining visual perception of original images and data hiding technique. The texture sensitivity is exploited to classify the types of image sub-block and reduce the bit rate while remaining good quality of reconstructed images. Moreover, the indicator bits of image sub-blocks are hidden into the quantizing levels of those blocks for decoding purpose. The simulation results show that the proposed BTC algorithm can achieve good balance between bit-rate and PSNR values. Especially, it obtained about 4.0 dB higher PSNR at approximate bit-rate.
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  •    Multipurpose Perceptual Image Hashing Based on Block Truncation Coding
How to cite this article:

Hengfu Yang and Jianping Yin, 2012. An Adaptive Block Truncation Coding Algorithm Based on Data Hiding. Information Technology Journal, 11: 647-650.

DOI: 10.3923/itj.2012.647.650






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