Classification-based spatial error concealment for images

* This paper presents a new, classification-based spatial error concealment algorithm for images. The proposed scheme takes advantage of two state-of-the-art concealment schemes and adaptively selects a better suitable concealment scheme for each corrupted block. Using a Support Vector Machine (SVM) classifier, our proposed approach outperforms the prior art in terms of the concealment quality and has moderate computational complexity.

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: M. Chen, M. Wu, Y. Zheng
• Keywords: Concealment Quality, ICIP 2003, Image Processing, Spatial Error Concealment, State-of-the-art Concealment Schemes, Suitable Concealment Scheme