Title :
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
fDate :
8/1/1998 12:00:00 AM
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;
Journal_Title :
Consumer Electronics, IEEE Transactions on
