Adaptive quantization scheme for MPEG video coders based on HVS (Human Visual System)

Anwer Sultan; Haniph A. Latchman

doi:10.1117/12.235416

22 March 1996 Adaptive quantization scheme for MPEG video coders based on HVS (Human Visual System)

Anwer Sultan, Haniph A. Latchman

Proceedings Volume 2668, Digital Video Compression: Algorithms and Technologies 1996; (1996) https://doi.org/10.1117/12.235416
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Effective quantization and rate control are very important issues in real time video compression in order to control picture quality and maintain target bit rate. MPEG-2 test model 5 (TM5) describes an adaptive quantization scheme that exploits human visual system properties to improve subjective quality. The TM5 algorithm, however produces blocking artifacts and distortion in edges on flat background in some pictures. Moreover, the TM5 quantization scheme can not effectively control the quality in predicted pictures, since the activity classification performed in the pixel domain is weakly correlated with the actual quantization performed in the transform domain. In this paper, we propose a new quantization scheme that addresses these deficiencies and also takes into account the variation in compaction property of the DCT kernel as this relates to orientation of edges and structures within a block. The proposed scheme involves a two step activity determination procedure. In the first step, activity is determined based on the actual block variance in the pixel domain and in the second step, a correction factor is applied depending upon the effectiveness of the DCT kernel in the transform domain. Our results show that the proposed scheme results in improved picture quality and better bit-distribution as compared to MPEG-2 TM5.

Citation Download Citation

Anwer Sultan and Haniph A. Latchman "Adaptive quantization scheme for MPEG video coders based on HVS (Human Visual System)", Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); https://doi.org/10.1117/12.235416

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