Title :
Blind image restoration for ultrasonic C-scan using constrained 2D-HOS
Author :
Qidwai, Uvais ; Chen, Chi-Hau
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Dartmouth, MA, USA
Abstract :
A new approach is presented to use higher order statistics (HOS) to deconvolve the effects of blurring in ultrasonic C-scans. The quantization effects of the mechanical scan-grid and the conversion of the 1D A-scan into one pixel on the image cause blurring. The proposed approach is completely blind to the source or the type of distortion and the formulation is purely two-dimensional. When the blurring function is modeled as an AR process, the image is restored recursively with the application of the inverse filter based on the AR estimate. A significant improvement in the image quality has been demonstrated. In particular, the edges are detected more prominently than in the original image
Keywords :
acoustic signal processing; autoregressive processes; deconvolution; edge detection; higher order statistics; image restoration; inverse problems; quantisation (signal); recursive estimation; recursive filters; ultrasonic imaging; ultrasonic materials testing; AR process; blind image restoration; blurring; constrained 2D-HOS; deconvolution; edge detection; higher order statistics; image quality; inverse filter; quantization effects; recursive estimation; ultrasonic C-scans; Filters; Higher order statistics; Image converters; Image edge detection; Image restoration; Nonlinear distortion; Pixel; Quantization; Recursive estimation; Statistical distributions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940572
