Loading [a11y]/accessibility-menu.js
Understanding and Removal of False Contour in HEVC Compressed Images | IEEE Journals & Magazine | IEEE Xplore

Understanding and Removal of False Contour in HEVC Compressed Images


Abstract:

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 re...Show More

Abstract:

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.
Page(s): 378 - 391
Date of Publication: 08 September 2016

ISSN Information:

Funding Agency:


References

References is not available for this document.