A spatially adaptive Poissonian image deblurring

Author

Foi, Alessandro ; Alenius, Sakari ; Trimeche, Mejdi ; Katkovnik, Vladimir ; Egiazarian, Karen

Volume

1

fYear

2005

fDate

11-14 Sept. 2005

Abstract

A spatially adaptive image deblurring algorithm is presented for Poisson observations. It adapts to the unknown image smoothness by using local polynomial approximation (LPA) kernel estimates of varying scale and direction based on the intersection of confidence intervals (ICI) rule. The signal-dependant characteristics of the Poissonian noise are exploited to accurately compute the pointwise variances of the directional estimates. The results show that this accurate pointwise adaptive algorithm significantly improves the image restoration quality.

Keywords

image restoration; polynomial approximation; stochastic processes; Poisson observations; Poissonian noise; image restoration quality; intersection of confidence intervals rule; local polynomial approximation kernel; pointwise adaptive algorithm; spatially adaptive Poissonian image deblurring; unknown image smoothness; Biomedical optical imaging; Convolution; Image reconstruction; Image restoration; Maximum likelihood estimation; Optical distortion; Optical imaging; Optical microscopy; Optical signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2005. ICIP 2005. IEEE International Conference on

Print_ISBN

0-7803-9134-9

Type

conf

DOI

10.1109/ICIP.2005.1529903

Filename

1529903