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An Adaptive Block Truncation Coding Algorithm Based on Data Hiding

Author(s): Hengfu Yang | Jianping Yin

Journal: Information Technology Journal
ISSN 1812-5638

Volume: 11;
Issue: 5;
Start page: 647;
Date: 2012;
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Keywords: Block truncation coding | LSB | data hiding | texture sensitivity

Generally, image compression using Block Truncation Coding (BTC) cant 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.

Tango Jona
Tangokurs Rapperswil-Jona

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