Proc. SPIE. 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
KEYWORDS: Signal to noise ratio, Point spread functions, Statistical analysis, Digital image processing, Image processing, Image restoration, Image analysis, Medical imaging, Image transmission, Chemical elements
To investigate blind image restoration problem, we propose to combine Parzen-window estimate with regularization
technique (PWERT) in this paper. Parzen-window estimate method is engaged to obtain point spread function. And
regularization technique is utilized to control the noise deterioration and ill-posed case during image restoration.
Experiment results show that PWERT is able to deblur degraded image effectively and is robust to noise.