Recursively adaptive perceptual non-local means for video coding

Xinjie Luo; Ju Huang; Guoqing Xiang; Hongfei Fan; Yi Hou; Wei Yan

doi:10.1117/12.2601712

30 June 2021 Recursively adaptive perceptual non-local means for video coding

Xinjie Luo, Ju Huang, Guoqing Xiang, Hongfei Fan, Yi Hou, Wei Yan

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 118781K (2021) https://doi.org/10.1117/12.2601712
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

It’s well known that various extents of discontinuous artifacts often occur in reconstructed video. Massive in-loop coding algorithms have been presented to reduce artifacts. However, when bitrate is insufficient, in-loop coding tools alone fail to solve the problem properly. Preprocessing can be served as an effective solution to reduce compression distortion at low bitrate. In this paper, we propose a novel re-cursively adaptive perceptual non-local means (RAP-NLM) preprocessing algorithm based on just noticeable distortion (JND) model. By recursively employing both spatial and temporal non-local content perceptual characteristics, RAP-NLM filter could be adapted to reduce perceptual redundancies, which will help alleviate the artifacts. Experimental results show that our adaptive perceptual preprocessing algorithm can effectively improve the perceived quality of reconstruction video frames.

Citation Download Citation

Xinjie Luo, Ju Huang, Guoqing Xiang, Hongfei Fan, Yi Hou, and Wei Yan "Recursively adaptive perceptual non-local means for video coding", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781K (30 June 2021); https://doi.org/10.1117/12.2601712

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