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Context-Based Lossless Compression of Mosaic Image with Bayer Pattern

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3 Author(s)
Yongqiang Cheng ; Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan ; Keming Xie ; Gang Zhang

In this paper, a predictive model for compression of mosaic image with Bayer pattern is proposed. It consists of TFNN neural network predictor and adaptive correction part based on context. As in JPEG-LS, the adaptive part of the predictor is context-based and it is used to ldquocancelrdquo the integer part of the offset due to the TFNN predictor. In the meantime, we propose a context quantization approach that achieves high coding efficiency. Compared with existing methods of CFA image lossless compression, the performance of proposed method is apparently the best.

Published in:

Image and Signal Processing, 2008. CISP '08. Congress on  (Volume:1 )

Date of Conference:

27-30 May 2008

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