Title :
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
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.856875
