Optimizing Subjective Quality in HEVC-MSP: An Approximate Closed-form Image Compression Approach

HEVC, as the latest video coding standard, achieves top performance on image compression. On the basis of this, we propose a novel approach to optimize subjective quality for HEVC-based image compression. Specifically, a bit allocation formulation is established to optimize subjective quality with c...

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Bibliographic Details
Main Authors: Shengxi Li, Mai Xu, Yun Ren, Chengzhang Ma, Zulin Wang
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Closed-form solutions
Distortion
HEVC
Image coding
Optimization
perceptual image compression
saliency detection
Taylor series
Visualization
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Summary:HEVC, as the latest video coding standard, achieves top performance on image compression. On the basis of this, we propose a novel approach to optimize subjective quality for HEVC-based image compression. Specifically, a bit allocation formulation is established to optimize subjective quality with constraint on bit-rates. Then, we propose a recursive Taylor expansion method to quickly solve such a formulation with an approximate closed-form solution. The experimental results show the superior performance of our approach, with ~40% BD-rate saving over the state-of-the-art HEVC-MSP for face image compression.
ISSN:2375-0359
DOI:10.1109/DCC.2016.10