Title :
Classification-based spatial error concealment for images
Author :
Chen, Meng ; Wu, Min ; Zheng, Yefeng
Author_Institution :
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
Abstract :
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.
Keywords :
image classification; support vector machines; SVM classifier; classification-based image algorithm; moderate computational complexity; spatial error concealment algorithm; state-of-the-art concealment scheme; support vector machine; Art; Computational complexity; Computer errors; Educational institutions; High performance computing; Image coding; Image storage; Interpolation; Support vector machine classification; Support vector machines;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246770
