Spatio-temporal post-filtering of 3-D coded video sequences

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099) Pub Date : 2000-05-29 DOI:10.1109/MELCON.2000.879973

P. Skocir, B. Marusic, J. Tasic

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Abstract

Lossy video coding using wavelet transforms at low bit-rates results in coding artifacts mainly observed as ringing effects. The performance of a coding system can be additionally enhanced if a spatio-temporal post-processing algorithm is applied at the end of the coding chain. The description of an adaptive spatio-temporal algorithm is the objective of this paper. The algorithm takes into account the motion information to avoid temporal blurring of moving edges and spatial edge information to avoid spatial blurring while implementing temporal and spatial filtering in order to alleviate the presence of the artifacts. Motion information is used in order to tune the algorithm adaptively so that motion compensated temporal filtering is applied only in non-motion areas and motion areas with low prediction error. The proposed algorithm uses adaptive spatial filtering that is based on edge detection and ringing area estimation for pixel classification in edge and non-edge corrupted pixels. Spatial filtering leaves edges unaffected to preserve image details. Experimented results show significant increase in perceptual quality of wide sequences.

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三维编码视频序列的时空后滤波

在低比特率下使用小波变换进行有损视频编码会产生编码伪影，主要表现为环形效应。如果在编码链的末端采用时空后处理算法，可以进一步提高编码系统的性能。本文的目标是描述一种自适应时空算法。该算法考虑运动信息以避免运动边缘的时间模糊和空间边缘信息以避免空间模糊，同时实现时空滤波以减轻伪影的存在。利用运动信息对算法进行自适应调整，使运动补偿时间滤波仅在非运动区域和预测误差较小的运动区域进行。该算法采用基于边缘检测和环形面积估计的自适应空间滤波对边缘和非边缘损坏像素进行分类。空间滤波使边缘不受影响，以保留图像细节。实验结果表明，宽序列的感知质量显著提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)

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