Lossless Coding of Multiband Images Using Interband Data Correlation and Error Feedback Prediction Scheme

In this paper, a multiband loss less compression system exploiting inter-band data correlation is presented. We develop an adaptive prediction scheme that can dynamically switch among smooth, intra and intra-band prediction modes subject to the data correlation. Specifically, we use context informat...

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Bibliographic Details
Published in2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing pp. 280 - 283
Main Authors Cheng-Chen Lin, Yin-Tsung Hwang, Yi-Chen Chang, Jiun-Jiang Chen, Ming-Wei Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Context
context matching
Correlation
Encoding
Hyperspectral imaging
Image coding
lossless compression
multiband images
Pixel
Redundancy
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ISBN1424483786
9781424483785
DOI10.1109/IIHMSP.2010.77

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Summary:In this paper, a multiband loss less compression system exploiting inter-band data correlation is presented. We develop an adaptive prediction scheme that can dynamically switch among smooth, intra and intra-band prediction modes subject to the data correlation. Specifically, we use context information to determine the inter-band correlation between neighboring bands, and then borrow the wisdom of optimal prediction formula from the previous band if its context matches the current one. Prediction error from the previous band is feedback for bias cancellation. Experimental results show that the proposed system delivers the best coding performance among various multi-band image formats. The bit-rate saving over other state-of-the-art techniques can be up to 16%.
ISBN:1424483786
9781424483785
DOI:10.1109/IIHMSP.2010.77