Regularized iterative image interpolation and its application to spatially scalable coding

Author

Shin, Jeong Ho ; Jung, Jung Hoon ; Paik, Joon Ki

Author_Institution

Dept. of Electron. Eng., Chung-Ang Univ., Seoul, South Korea

Volume

44

Issue

3

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

1042

Lastpage

1047

Abstract

This paper presents a regularized iterative image interpolation algorithm, which can restore high frequency details in the original high resolution image. In order to apply the regularization approach to the interpolation procedure, we first present a two-dimensional separable image degradation model for a low resolution imaging system. According to the model, we propose a regularization based spatial image sequence interpolation algorithm and apply the proposed algorithm to a spatially scalable coding

Keywords

image coding; image resolution; image restoration; image sequences; interpolation; iterative methods; 2D separable image degradation model; POCS algorithm; high frequency detail restoration; high resolution image; low resolution imaging system; regularized iterative image interpolation; spatial image sequence interpolation algorithm; spatially scalable coding; white Gaussian noise; Degradation; Frequency; High-resolution imaging; Image coding; Image resolution; Image restoration; Image sequences; Interpolation; Iterative algorithms; Spatial resolution;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.713232

Filename

713232