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Title: An Adaptive Block Truncation Coding Algorithm Based on Data Hiding
Authors: Hengfu Yang, Jianping Yin
Journal: Information Technology Journal
Publisher: Asian Network for Scientific Information (ANSInet)
Country: Pakistan
Year: 2012
Volume: 11
Issue: 5
Language: English
DOI: 10.10.3923/itj.2012.647.650
Keywords: block truncation codingData hidingLSBtexture sensitivity
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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