Image deconvolution and noise control

Olli P. Yli-Harja; Pasi Rustanius; Samuli Reponen

doi:10.1117/12.424982

8 May 2001 Image deconvolution and noise control

Olli P. Yli-Harja, Pasi Rustanius, Samuli Reponen

Proceedings Volume 4304, Nonlinear Image Processing and Pattern Analysis XII; (2001) https://doi.org/10.1117/12.424982
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper considers the problem of image deconvolution, or more precisely, sharpening blurred and noisy images. Using common sharpening methods, which include for example convolution with Laplacian, produces amplified noise. To reduce noise, a median filter is used, resulting in a sequence of sharpening-median cascade filtering, to be applied to an image sequentially. Now, using different sharpening-median filtering sequences produces different kinds of sharpening results. Examples of these differences are given by simulations in one-dimensional cases with noisy edges. Examples of sharpening real photographs are given and comparison with existing techniques is reported.

Citation Download Citation

Olli P. Yli-Harja, Pasi Rustanius, and Samuli Reponen "Image deconvolution and noise control", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); https://doi.org/10.1117/12.424982

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available