Bayesian Error Concealment With DCT Pyramid for Images

In this paper, the problem of concealing missing image blocks is casted into a framework of Bayesian estimation. The conditional expectation of the missing block vector is taken over a pilot vector of correctly decoded pixels near the missing block. Multiple observations of the missing vector and pi...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2010-09, Vol.20 (9), p.1224-1232
Main Authors: Zhai, Guangtao, Yang, Xiaokang, Lin, Weisi, Zhang, Wenjun
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Approximation
Bayesian analysis
Bayesian estimation
Bayesian methods
DCT pyramid
Decoding
Discrete cosine transforms
error concealment
Errors
Exact sciences and technology
Image communication
Image restoration
Information processing
Information, signal and communications theory
Interpolation
Iterative algorithms
Mathematical analysis
Miscellaneous
Permission
Pilots
Pyramids
Signal processing
Signal processing algorithms
Studies
Telecommunications and information theory
Vectors (mathematics)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, the problem of concealing missing image blocks is casted into a framework of Bayesian estimation. The conditional expectation of the missing block vector is taken over a pilot vector of correctly decoded pixels near the missing block. Multiple observations of the missing vector and pilot vectors obtained in a neighborhood are used to approximate the expectation. We design a multiscale estimation approach with discrete cosine transform pyramid to improve estimation efficiency. The DC image of the missing block is recovered first, and then more details related to high-frequency AC coefficients are recovered successively. Moreover, the algorithm operates in an iterative mode through using estimated block to refine the searching process for the next estimation. The algorithm is found to perform very well for a wide range of block loss rates. Substantial improvement over 14 existing error concealment (inclusive of inpainting) algorithms on various images is demonstrated in our extensive experiments, under different test conditions inclusive of high-loss rates and large block sizes.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2010.2057019