PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
An image restoration technique suitable for defocussed images with small noise is proposed here. It is tried to reduce the no. of computations by minimizing correlation between original image and noise process during estimation and also by applying Parseval's theorem on constraint identity. Present algorithm is, hence, quite economic.
B. Chanda,B. B. Chaudhuri, andD. Dutta Majumder
"A Restoration Technique For Bio-Medical Image Blurred Due To Defocussing Effect", Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); https://doi.org/10.1117/12.934588
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
B. Chanda, B. B. Chaudhuri, D. Dutta Majumder, "A Restoration Technique For Bio-Medical Image Blurred Due To Defocussing Effect," Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); https://doi.org/10.1117/12.934588