Simultaneous noise filtering and super-resolution with second-generation wavelets

Author

Chappalli, Mahesh B. ; Bose, N.K.

Author_Institution

Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA

Volume

12

Issue

11

fYear

2005

Firstpage

772

Lastpage

775

Abstract

Wavelet coefficient thresholding is effective in reducing spatial domain noise in wavelet-based super-resolution algorithms. Here, the effect of the threshold level on reconstructed image quality in second-generation wavelet super-resolution is investigated. The choice of optimal threshold involves a tradeoff between noise filtering and blurring introduced by thresholding. A measure based on the singular values of the image matrix is employed as a reliable gauge of generated high-resolution image quality.

Keywords

filtering theory; image denoising; image resolution; image restoration; matrix algebra; wavelet transforms; image blurring; image matrix; image quality reconstruction; second-generation wavelet coefficient; spatial domain noise filtering; super-resolution algorithm; Filtering; Image quality; Image reconstruction; Image resolution; Noise reduction; PSNR; Signal processing algorithms; Signal resolution; Spatial resolution; Wavelet coefficients; Noise filtering; second-generation wavelets; super-resolution; thresholding;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.856875

Filename

1518898