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