Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression
Document Type
Article
Publication Date
1-1-2020
Publication Source
IEEE Signal Processing Letters
Abstract
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.
Inclusive pages
461-465
ISBN/ISSN
1070-9908; eISSN: 1558-2361
Copyright
Copyright © 2020 IEEE - All rights reserved
Publisher
IEEE
Volume
27
Keywords
camera processing pipeline, Color filter array, lifting scheme, video compression, wavelet transform
Sponsoring Agency
National Research Foundation of Korea, No. 2016-0-00144
eCommons Citation
Lee, Yeejin and Hirakawa, Keigo, "Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression" (2020). Electrical and Computer Engineering Faculty Publications. 443.
https://ecommons.udayton.edu/ece_fac_pub/443
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