Pre-processing techniques to improve HEVC subjective quality

D. G. Fernández; A. A. Del Barrio; Guillermo Botella; Uwe Meyer-Baese; Anke Meyer-Baese; Christos Grecos

doi:10.1117/12.2260433

1 May 2017 Pre-processing techniques to improve HEVC subjective quality

D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, Christos Grecos

Proceedings Volume 10223, Real-Time Image and Video Processing 2017; 102230E (2017) https://doi.org/10.1117/12.2260433
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

Nowadays, HEVC is the cutting edge encoding standard being the most efficient solution for transmission of video content. In this paper a subjective quality improvement based on pre-processing algorithms for homogeneous and chaotic regions detection is proposed and evaluated for low bit-rate applications at high resolutions. This goal is achieved by means of a texture classification applied to the input frames. Furthermore, these calculations help also reduce the complexity of the HEVC encoder. Therefore both the subjective quality and the HEVC performance are improved.

Citation Download Citation

D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, and Christos Grecos "Pre-processing techniques to improve HEVC subjective quality", Proc. SPIE 10223, Real-Time Image and Video Processing 2017, 102230E (1 May 2017); https://doi.org/10.1117/12.2260433

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