Title
Estimation of edge direction for block error concealment using hypothesis testing problem
Abstract
In this paper, we present an error concealment technique that estimates the edge directions of lost block. We propose an adaptive block pair selection algorithm to estimate the edge direction of lost block in wavelet domain. For this estimation to be made, a hypothesis-testing problem is applied to the variance of wavelet coefficients. Here, we use an F-distribution. The strong edge has large amounts of variance because of its large coefficients. Therefore, our method decides the edge directions of the lost block from hypothesis-testing problem using the variance of the wavelet coefficients of the neighbouring blocks. The proposed method outperforms the previous methods that only used a predefined set of neighbouring blocks.
Year
Venue
Keywords
2007
SIP
hypothesis testing problem,lost block,edge direction,strong edge,neighbouring block,hypothesis-testing problem,block error concealment,large amount,wavelet domain,adaptive block pair selection,wavelet coefficient,large coefficient,hypothesis test
Field
DocType
ISSN
Error concealment,Mathematical optimization,Selection algorithm,Algorithm,Mathematics,Statistical hypothesis testing,Block error,Wavelet
Conference
1482-7921
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Seung Hwa Hyun100.34
Sang-Soo Kim2226.25
Il Kyu Eom36812.58
Yoo Shin Kim4427.33