Paper Info
Title
Improving Compression Efficiency Of Hevc Using Perceptual Coding
Abstract
The introduction of the new coding tools in HEVC has brought significant bitrate savings compared to the previous standard, H.264/AVC. In both standards, the mean square error (MSE) is used for measuring distortion in the rate distortion optimization process of the coding unit structure and mode selection. However, MSE is not a good measure to use for measuring visual quality as it poorly correlates with human perception. Integration of a video quality metric based on the characteristics of the Human Visual System (HVS) inside the rate distortion optimization procedure is expected to improve the compression efficiency of video coding. In this paper, the PSNR-HVS measure is used in the rate distortion optimization process for the coding unit structure and mode selection. In the first step, we find the scaling factor for the Lagrangian multiplier based on the proposed perceptual approach. In the second step, we find optimal Lagrangian multiplier depending on the quantization parameter. The compression efficiency of the proposed approach is compared to that of HEVC. Simulations prove that the proposed approach yields higher compression efficiency.
Year
DOI
Venue
2021
10.1007/s11042-020-09442-z
MULTIMEDIA TOOLS AND APPLICATIONS
Keywords
DocType
Volume
Perceptual video coding, Rate distortion optimization (RDO), Human visual system (HVS), PSNR-HVS, High efficiency video coding (HEVC), Coding unit structure, CU mode selection
Journal
80
Issue
ISSN
Citations 
7
1380-7501
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Sima Valizadeh171.84
Panos Nasiopoulos255969.57
Rabab K Ward31440135.88