Cross-Color Channel Perceptually Adaptive Quantization for HEVC
Lee Prangnell, Miguel Hern\'andez-Cabronero, Victor Sanchez

TL;DR
This paper introduces a novel cross-color channel perceptually adaptive quantization method for HEVC that improves coding efficiency by adjusting quantization parameters based on combined spatial activity across luminance and chroma channels.
Contribution
The paper proposes a new cross-color channel adaptive quantization scheme that considers all three color channels for perceptual adjustment, enhancing HEVC coding efficiency.
Findings
Maximum BD-Rate reduction of 15.9% in Y channel
Maximum BD-Rate reduction of 13.1% in Cr channel
Maximum decoding time reduction of 11.0%
Abstract
HEVC includes a Coding Unit (CU) level luminance-based perceptual quantization technique known as AdaptiveQP. AdaptiveQP perceptually adjusts the Quantization Parameter (QP) at the CU level based on the spatial activity of raw input video data in a luma Coding Block (CB). In this paper, we propose a novel cross-color channel adaptive quantization scheme which perceptually adjusts the CU level QP according to the spatial activity of raw input video data in the constituent luma and chroma CBs; i.e., the combined spatial activity across all three color channels (the Y, Cb and Cr channels). Our technique is evaluated in HM 16 with 4:4:4, 4:2:2 and 4:2:0 YCbCr JCT-VC test sequences. Both subjective and objective visual quality evaluations are undertaken during which we compare our method with AdaptiveQP. Our technique achieves considerable coding efficiency improvements, with maximum BD-Rate…
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Taxonomy
TopicsVideo Coding and Compression Technologies · Image and Video Quality Assessment · Advanced Image Processing Techniques
