Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression

In this letter, we improve lossless intra-frame compression of color filter array (CFA) video based on Camera-Aware Multi-Resolution Analysis (CAMRA). CAMRA-based compression leverages the correlation between LH and HL subbands of wavelet-transformed CFA video frames. The key contribution of this le...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 27; pp. 461 - 465
Main Authors Lee, Yeejin, Hirakawa, Keigo
Format Journal Article
LanguageEnglish
Published New York IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
camera processing pipeline
Cameras
Color filter array
Decorrelation
Image coding
Image color analysis
lifting scheme
Misalignment
Video compression
Wavelet analysis
wavelet transform
Wavelet transforms
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Summary:In this letter, we improve lossless intra-frame compression of color filter array (CFA) video based on Camera-Aware Multi-Resolution Analysis (CAMRA). CAMRA-based compression leverages the correlation between LH and HL subbands of wavelet-transformed CFA video frames. The key contribution of this letter is an analysis showing that the chrominance components shared by LH and HL subbands of LeGall 5/3 wavelet transform are misaligned, negatively impacting the coding efficiency. To decorrelate the subbands more effectively with minimal dynamic range growth, we developed a new lifting scheme that corrects for this misalignment. We validated our theoretical analysis and the performance of the proposed compression scheme using videos of natural scenes captured in a raw format. The experimental results verify that our proposed transform improves the coding efficiency of CFA intra-frame lossless compression.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2020.2969531