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A reduced reference video quality assessment of H.264 and mpeg2 codec based on sharpness metric
Author(s) -
Ben Amor Mohamed,
Larabi MohamedChaker,
Kammoun Fahmi,
Masmoudi Nouri
Publication year - 2016
Publication title -
journal of the society for information display
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 52
eISSN - 1938-3657
pISSN - 1071-0922
DOI - 10.1002/jsid.517
Subject(s) - codec , computer science , video quality , pevq , metric (unit) , coding (social sciences) , mpeg 4 , computer vision , data compression , scalable video coding , artificial intelligence , subjective video quality , video compression picture types , image quality , motion compensation , video tracking , video processing , mathematics , statistics , image (mathematics) , computer hardware , operations management , economics
In this paper, we propose a new perceptually significant video quality metric for the H.264/Motion Picture Expert Group (MPEG)‐4 Advanced Video Coding (AVC) and MPEG2 standard. Our method operates in the spatial domain by using the Sobel filter. The proposed approach does not require a high computational complexity and can be suitable for real‐time evaluation. We evaluate the performance of the proposed method by using three Common Intermediate Format sequences at different compression rates. The comparison of the obtained results is made with some video quality models using “LIVE”, “IVP” and “IRCCyN/IVC 1080i” databases. The performance metrics, i.e. Pearson and Spearman correlation coefficients, indicate that the proposed method gives a good performance in H264 and MPEG2 codec distortions with the three databases comparing with other models.