NDLI: Differential prediction-based lossless compression with very low-complexity for hyperspectral data

Content Provider	IEEE Xplore Digital Library
Author	Hongjia Song Zhenzhen Song Guangxing Deng Yanhua Ma Piming Ma
Copyright Year	2011
Description	Author affiliation: School of Information Science and Engineering, Shandong University, Jinan 250100, China (Hongjia Song; Zhenzhen Song; Guangxing Deng; Piming Ma) \|\| Shanghai Institute of Technical Physics, Chinese Academy Science, 200083, China (Yanhua Ma)
Abstract	This paper presents Optimized Combination Coding (OCC) as a differential prediction-based (DP-based) lossless compression scheme for hyperspectral data with very low complexity. The main modules of OCC scheme consist of two predictors and Huffman codec. The pixels are processed differently according to their location in the image. The prediction errors between predicted and real pixel gray value are encoded ultimately into variable-length codewords attached to the binary code stream by Huffman codebook. Furthermore, the comparison between JPEG-LS algorithm and OCC scheme shows that optimized compression parameter of JPEG-LS algorithm slightly outperforms the scheme, however, the level of complexity described is fairly lower than the JPEG-LS ones. Additionally, several key issues of the codec implementation by means of FPGA technique are introduced.
Starting Page	323
Ending Page	327
File Size	214080
Page Count	5
File Format	PDF
ISBN	9781612843063
e-ISBN	9781612843070
DOI	10.1109/ICCT.2011.6157889
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Correlation Hyperspectral imaging Decoding Field programmable gate arrays Prediction algorithms FPGA implementation MED predictor Context-based adaptive predictor Huffman coding
Content Type	Text
Resource Type	Article

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