Version 1
: Received: 29 May 2024 / Approved: 29 May 2024 / Online: 30 May 2024 (03:46:37 CEST)
How to cite:
Atencia, J. R.; López, O. M.; Perez Malumbres, M.; Martínez-Rach, M. O.; Coll, D. R.; Fernández-Escribano, G.; Van Wallendael, G. A Hybrid Contrast and Texture Masking Model to Boost HEVC Perceptual RD Performance. Preprints2024, 2024051975. https://doi.org/10.20944/preprints202405.1975.v1
Atencia, J. R.; López, O. M.; Perez Malumbres, M.; Martínez-Rach, M. O.; Coll, D. R.; Fernández-Escribano, G.; Van Wallendael, G. A Hybrid Contrast and Texture Masking Model to Boost HEVC Perceptual RD Performance. Preprints 2024, 2024051975. https://doi.org/10.20944/preprints202405.1975.v1
Atencia, J. R.; López, O. M.; Perez Malumbres, M.; Martínez-Rach, M. O.; Coll, D. R.; Fernández-Escribano, G.; Van Wallendael, G. A Hybrid Contrast and Texture Masking Model to Boost HEVC Perceptual RD Performance. Preprints2024, 2024051975. https://doi.org/10.20944/preprints202405.1975.v1
APA Style
Atencia, J. R., López, O. M., Perez Malumbres, M., Martínez-Rach, M. O., Coll, D. R., Fernández-Escribano, G., & Van Wallendael, G. (2024). A Hybrid Contrast and Texture Masking Model to Boost HEVC Perceptual RD Performance. Preprints. https://doi.org/10.20944/preprints202405.1975.v1
Chicago/Turabian Style
Atencia, J. R., Gerardo Fernández-Escribano and Glenn Van Wallendael. 2024 "A Hybrid Contrast and Texture Masking Model to Boost HEVC Perceptual RD Performance" Preprints. https://doi.org/10.20944/preprints202405.1975.v1
Abstract
As most of the videos are destined for human perception, many techniques have been designed to improve video coding based on how the human visual system perceives video quality. In this paper, we propose the use of two perceptual coding techniques, namely contrast masking and texture masking, jointly operating under the High Efficiency Video Coding (HEVC) standard. These techniques aim to improve the subjective quality of the reconstructed video at the same bit rate. For contrast masking, we propose the use of a specific weighting matrix for each block size (from 4×4 up to 32×32). We achieve average Bjøntegaard Delta-Rate (BD-rate) gains of between 2.5% and 4.48%, depending on the perceptual metric and coding mode used. The texture masking scheme is based on the classification of each coding unit, using its mean directional variance features as input to a support vector machine model. According to this classification, the block’s energy, the type of coding unit, and its size, an over-quantization is computed to provide a QP offset (DQP) for this coding unit. By applying both techniques in the HEVC Reference Software, an overall average of 5.79% BD-rate gain is achieved.
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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