Adaptive error concealment with novel content classification

Fangwen Fu; Lidong Xu; Xinggang Lin

doi:10.1117/12.632646

24 June 2005 Adaptive error concealment with novel content classification

Fangwen Fu, Lidong Xu, Xinggang Lin

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59602Z (2005) https://doi.org/10.1117/12.632646
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

In recent years, various spatial error concealment techniques have been proposed only by partially considering the four following factors: 1) image continuity, 2) edge preservation, 3) texture recovery and 4) concealment complexity. Therefore, either the results of edge and texture recovery are unsatisfactory or the computation loan is too heavy to be acceptable. Aiming to overcome the above problems, a strap-based (strap means a set of consecutive macroblocks in horizon) framework, instead of block-based framework, is introduced in this paper. Within this framework, the content of each corrupted strap is classified into four classes: smooth area, edge area, low detail area and high detail area. Then a suitable method is selected for each class. Briefly speaking, bilinear interpolation, directional interpolation, best neighborhood match and Markov Random Field (MRF) model-based maximum a posterior (MAP) estimation are employed to conceal the above classes. During content classification, the gradient information of those pixels near the corrupted strap is calculated and presented as gradient points on a unit circle. The centroid, scatter degree and average gradient magnitude of those gradient points are calculated and used to classify the corrupted content. The results of our experiments demonstrate the efficiency of the proposed method and the impressive improvements in both objective and subjective measures have been achieved.

Citation Download Citation

Fangwen Fu, Lidong Xu, and Xinggang Lin "Adaptive error concealment with novel content classification", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59602Z (24 June 2005); https://doi.org/10.1117/12.632646

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