Title :
Two-dimensional H/sub /spl infin//-based blind deconvolution for image enhancement with applications to ultrasonic NDE
Author :
Qidwai, Uvais ; Chen, C.H.
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Tulane Univ., New Orleans, LA, USA
fDate :
5/1/2002 12:00:00 AM
Abstract :
This article presents a new algorithm for blind deconvolution and consequently enhancement for ultrasonic C-scan images. A modified two-dimensional (2-D) H/sub /spl infin// state estimation technique has been utilized that deconvolves the effect of unknown blur in the image and enhances the important edges. A new state-space model, based on redundant representation of constrained 2-D convolution sum, has been developed for the image so that it can be utilized in the H/sub /spl infin// state estimation framework. Satisfactory results have been obtained for real images. The same procedure can also be applied to any other image where localized enhancement can be helpful.
Keywords :
convolution; image enhancement; image representation; state estimation; ultrasonic imaging; ultrasonic materials testing; 2D H/sub /spl infin//-based blind deconvolution; H/sub /spl infin// state estimation; constrained 2D convolution sum; image enhancement; nondestructive evaluation; real images; redundant representation; state-space model; ultrasonic NDE; Deconvolution; Entropy; Filtering; Histograms; Image enhancement; Noise measurement; Pixel; Riccati equations; Signal processing algorithms; State estimation;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2002.1009008