NDLI: Wavelet-domain filtering for photon imaging systems

Content Provider	IEEE Xplore Digital Library
Author	Nowak, R.D. Baraniuk, R.G.
Copyright Year	1992
Abstract	Many imaging systems rely on photon detection as the basis of image formation. One of the major sources of error in these systems is Poisson noise due to the quantum nature of the photon detection process. Unlike additive Gaussian white noise, the variance of Poisson noise is proportional to the underlying signal intensity, and consequently separating signal from noise is a very difficult task. In this paper, we perform a novel gedankenexperiment to devise a new wavelet-domain filtering procedure for noise removal in photon imaging systems. The filter adapts to both the signal and the noise, and balances the trade-off between noise removal and excessive smoothing of image details. Designed using the statistical method of cross-validation, the filter is simultaneously optimal in a small-sample predictive sum of squares sense and asymptotically optimal in the mean-square-error sense. The filtering procedure has a simple interpretation as a joint edge detection/estimation process. Moreover, we derive an efficient algorithm for performing the filtering that has the same order of complexity as the fast wavelet transform itself. The performance of the new filter is assessed with simulated data experiments and tested with actual nuclear medicine imagery.
Sponsorship	IEEE Signal Processing Society
Starting Page	666
Ending Page	678
Page Count	13
File Size	737488
File Format	PDF
ISSN	10577149
Volume Number	8
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Gaussian noise Additive white noise White noise Smoothing methods Statistical analysis Image edge detection Filtering algorithms Wavelet transforms Medical simulation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spatially adaptive multiplicative noise image denoising technique

Optimal edge-preserving hybrid filters

Spatially adaptive wavelet-based multiscale image restoration

Wavelet transform domain filters: a spatially selective noise filtration technique

Nonlocal Means-Based Speckle Filtering for Ultrasound Images

Robust B-spline image modeling with application to image processing

Combining spatial and scale-space techniques for edge detection to provide a spatially adaptive wavelet-based noise filtering algorithm

Wavelet transform methods for object detection and recovery

The SURE-LET Approach to Image Denoising

Wavelet-domain filtering for photon imaging systems

Similar Documents

Spatially adaptive multiplicative noise image denoising technique

Optimal edge-preserving hybrid filters

Spatially adaptive wavelet-based multiscale image restoration

Wavelet transform domain filters: a spatially selective noise filtration technique

Nonlocal Means-Based Speckle Filtering for Ultrasound Images

Robust B-spline image modeling with application to image processing

Combining spatial and scale-space techniques for edge detection to provide a spatially adaptive wavelet-based noise filtering algorithm

Wavelet transform methods for object detection and recovery

The SURE-LET Approach to Image Denoising

Wavelet-domain filtering for photon imaging systems