Two Adaptive Methods Based on Edge Analysis for Improved Concealing Damaged Coded Images in Critical Error Situations

Abstract

The original coded image signal can be affected when it is transmitted over error-prone networks. Error concealment techniques for compressed image or video attempt to exploit correctly received information to recover corrupted regions that are lost. If these regions have edges, most of these conventional approaches cause noticeable visual degradations, because they not consider the edge characteristics of images. The spatial error concealment methods cannot work well; especially over high burst error condition since a great of neighboring information have been corrupted or lost (called ‘critical error situations’). This paper proposes two adaptive and effective methods to select the required support area, based on edge analysis using local geometric information, suited base functions and optimal expansion coefficients, in order to conceal the damaged macroblocks in critical error situations. Experimental results show that the proposed two approaches outperform existing methods by up to 7.9 dB on average.