Perceptually Weighted Mean Squared Error Based Rate-Distortion Optimization for HEVC

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

8 Scopus Citations
View graph of relations

Author(s)

  • Xiuzhe Wu
  • Hanli Wang
  • Sudeng Hu
  • Sam Kwong
  • C.-C. Jay Kuo

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)824-834
Journal / PublicationIEEE Transactions on Broadcasting
Volume66
Issue number4
Online published20 Oct 2020
Publication statusPublished - Dec 2020

Abstract

The process of rate-distortion (RD) optimization plays a key role for video coding, which aims to achieve a tradeoff between compression efficiency and video quality distortion. Although the conventional objective distortion metric mean squared error performs well in computational complexity, it is not always in accordance with the perceptual quality perceived by human visual system (HVS). Taking the characteristics of HVS into consideration, a perceptually weighted mean squared error (PWMSE) based RD model is proposed in this work. First, a low-pass filter is employed to process the original distortion information in order to simulate visual signal processing and obtain the perceptual distortion. Then, masking modulation in both temporal and spatial domains is introduced into distortion model, and a novel Lagrange multiplier is derived accordingly. The proposed PWMSE based RD model is applied to the high efficiency video coding standard, and comparative experimental results demonstrate its effectiveness. The project page can be found in https://mic.tongji.edu.cn/ab/40/c9778a174912/page.htm.

Research Area(s)

  • Encoding, high efficiency video coding, Measurement, Nonlinear distortion, Perceptual video coding, perceptually weighted mean squared error, Quality assessment, rate-distortion optimization, Video coding, Visualization

Citation Format(s)

Perceptually Weighted Mean Squared Error Based Rate-Distortion Optimization for HEVC. / Wu, Xiuzhe; Wang, Hanli; Hu, Sudeng et al.
In: IEEE Transactions on Broadcasting, Vol. 66, No. 4, 12.2020, p. 824-834.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review