Understanding and Removal of False Contour in HEVC Compressed Images
| Autor: | Se Yoon Jeong, Qin Huang, Jin Soo Choi, C.-C. Jay Kuo, Wen-Jiin Tsai, Hui Yong Kim |
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| Rok vydání: | 2018 |
| Předmět: |
Image coding
Compression artifact Pixel business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Pattern recognition 02 engineering and technology Electronic mail 0202 electrical engineering electronic engineering information engineering Media Technology Codec 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business ComputingMethodologies_COMPUTERGRAPHICS Mathematics Coding (social sciences) |
| Zdroj: | IEEE Transactions on Circuits and Systems for Video Technology. 28:378-391 |
| ISSN: | 1558-2205 1051-8215 |
| DOI: | 10.1109/tcsvt.2016.2607258 |
| Popis: | A contour-like artifact called false contour is often observed in large smooth areas of decoded images and video. Without loss of generality, we focus on detection and removal of false contours resulting from the state-of-the-art High Efficiency Video Coding codec. First, we identify the cause of false contours by explaining the human perceptual experiences on them with specific experiments. Next, we propose a precise pixel-based false contour detection method based on the evolution of a false contour candidate (FCC) map. The number of points in the FCC map becomes fewer by imposing more constraints step by step. Special attention is paid to separating false contours from real contours such as edges and textures in the video source. Then, a decontour method is designed to remove false contours in the exact contour position while preserving edge/texture details. Extensive experimental results are provided to demonstrate the superior performance of the proposed false contour detection and removal method in both compressed images and videos. |
| Databáze: | OpenAIRE |
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