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

Yeejin Lee; Keigo Hirakawa

doi:10.1109/LSP.2020.2969531

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

Yeejin Lee
, Keigo Hirakawa

Dept. of Electrical and Information Engineering

University of Dayton

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Article number	8970303
Pages (from-to)	461-465
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	27
DOIs	https://doi.org/10.1109/LSP.2020.2969531
State	Published - 2020

Keywords

camera processing pipeline
Color filter array
lifting scheme
video compression
wavelet transform

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10.1109/LSP.2020.2969531

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title = "Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression",

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.",

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note = "Publisher Copyright: {\textcopyright} 2019 IEEE.",

year = "2020",

doi = "10.1109/LSP.2020.2969531",

language = "English",

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pages = "461--465",

journal = "IEEE Signal Processing Letters",

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TY - JOUR

T1 - Shift-And-Decorrelate Lifting

T2 - CAMRA for Lossless Intra Frame CFA Video Compression

AU - Lee, Yeejin

AU - Hirakawa, Keigo

PY - 2020

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N2 - 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.

AB - 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.

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KW - Color filter array

KW - lifting scheme

KW - video compression

KW - wavelet transform

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DO - 10.1109/LSP.2020.2969531

M3 - Article

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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

M1 - 8970303

ER -

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

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