Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression
IEEE Signal Processing Letters
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.
1070-9908; eISSN: 1558-2361
Copyright © 2020 IEEE - All rights reserved
camera processing pipeline, Color filter array, lifting scheme, video compression, wavelet transform
National Research Foundation of Korea, No. 2016-0-00144
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.