Edge-oriented spatial interpolation for error concealment of consecutive blocks

Authors:
Wei Fu;Guang-Zhong Xing
Affiliations:
Department of Electronic Engineering, Yanshan University, Qinhuangdao, China and Department of Material Science, Yanshan University, Qinhuangdao, China;Department of Material Science, Yanshan University, Qinhuangdao, China
Venue:
Journal of Computer Science and Technology
Year:
2007

Citing 9
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Resolution Segmentation of Textured Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rule-based multitemplate edge detector

CVGIP: Graphical Models and Image Processing
Content-adaptive spatial error concealment for video communication

IEEE Transactions on Consumer Electronics
Regularity-preserving image interpolation

IEEE Transactions on Image Processing
Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding

IEEE Transactions on Image Processing
Concealment of damaged block transform coded images using projections onto convex sets

IEEE Transactions on Image Processing
Geometric-structure-based error concealment with novel applications in block-based low-bit-rate coding

IEEE Transactions on Circuits and Systems for Video Technology
Novel sequential error-concealment techniques using orientation adaptive interpolation

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a low-complexity spatial-domain error concealment (EC) algorithm for recovering consecutive blocks error in still images or intra-coded (I) frames of video sequences. The proposed algorithm works with the following steps. Firstly the Sobel operator is performed on the top and bottom adjacent pixels to detect the most probable edge direction of current block area. After that one-dimensional (I-D) matching is used on the available block boundaries. Displacement between edge direction candidate and most probable edge direction is taken into consideration as an important factor to improve stability of 1-D boundary matching. Then the corrupted pixels are recovered by linear weighting interpolation along the estimated edge direction. Finally the interpolated values are merged to get last recoveled picture. Simulation results demonstrate that the proposed algorithms obtain good subjective quality and higher PSNR than the methods in literatures for most images.