Result: Spatial interpolation algorithm for consecutive block error using the just -noticeable -distortion method

Title:
Spatial interpolation algorithm for consecutive block error using the just -noticeable -distortion method
Source:
Advances in image and video technology (First pacific rim symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006)0PSIVT 2006. :979-987
Publisher Information:
Berlin; Heidelberg: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 6 ref 1
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
VIA-Multimedia Center, Kwangwoon University, 447-1, Wolgye-Dong, Nowon-Gu, 139-701, Seoul, Korea, Republic of
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19008306
Database:
PASCAL Archive

Further Information

This paper presents a new error concealment algorithm based on edge-oriented spatial interpolation as well as the JND (Just-Noticeable-Distortion) function to select valid edge information in adjacent blocks. Several conventional algorithms suffer from computational complexity or inaccurate recovery at missing blocks having strong edgeness. In order to alleviate these drawbacks, the proposed algorithm estimates a dominant direction to interpolate the missing pixel values. At this step, automatic thresholding method based on the JND function is proposed to determine a valid direction. Then, a lost block is recovered by weighted linear interpolation along the dominant vector. Finally, the median filter is applied to recover pixels that are not located on the line with the estimated dominant direction. Simulation results show that the proposed algorithm improves the PSNR of the recovered image approximately 2.5dB better than Hsia's and can significantly reduce computational complexity with keeping subjective quality as good as the RIBMAP method.