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Adaptive Block Recovery Based on Subband Energy and DC Value in Wavelet Domain  

Hyun, Seung-Hwa (Dept. of Electronic Engineering, Pusan National University)
Eom, Il-Kyu (Dept. of Information and Communication, Miryang National University)
Kim, Yoo-Shin (Research Institute of Computer and Information and Communication, Pusan National University)
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Abstract
When images compressed with block-based compression techniques are transmitted over a noisy channel, unexpected block losses occur. In this paper, we present a post-processing-based block recovery scheme using Haar wavelet features. No consideration of the edge-direction, when recover the lost blocks, can cause block-blurring effects. The proposed directional recovery method in this paper is effective for the strong edge because exploit the varying neighboring blocks adaptively according to the edges and the directional information in the image. First, the adaptive selection of neighbor blocks is performed based on the energy of wavelet subbands (EWS) and difference of DC values (DDC). The lost blocks are recovered by the linear interpolation in the spatial domain using selected blocks. The method using only EWS performs well for horizontal and vertical edges, but not as well for diagonal edges. Conversely, only using DDC performs well diagonal edges with the exception of line- or roof-type edge profiles. Therefore, we combined EWS and DDC for better results. The proposed methods out performed the previous methods using fixed blocks.
Keywords
블록 손실;방향성 블록 복구;웨이블릿 부대역의 에너지;DC 값;
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