Image Restoration By Spatial Filter Design

Ram Srinivasan

doi:10.1117/12.937266

20 November 1986 Image Restoration By Spatial Filter Design

Ram Srinivasan

Proceedings Volume 0707, Visual Communications and Image Processing; (1986) https://doi.org/10.1117/12.937266
Event: Cambridge Symposium-Fiber/LASE '86, 1986, Cambridge, MA, United States

Abstract

A variety of techniques are present for restoration of images. One of the powerful techniques is Wiener filtering. Performing Fourier tranforms on an image processor for large multi-spectral images involves enormous computational effort. The problem considered here is a way of designing small spatial filters that approximate their frequency domain counterparts so that they can be implemented easily. Such a filter is very useful, particularly if the point spread function affecting different images or different bands of a multi-spectral image can be considered the same. It is also useful if a filter , designed for one section of a large image, can be applied to the entire image. It is a particularly valuable method in a production environment. An example of this is removal of atmospheric effects in satellite images. The objective of this paper is to show that such spatial filters can be very effective, a way to design them and how they are implemented on a commercially available image processor. The limitations of this technique are also discussed. Examples are shown on restoration of atmospherically degraded Landsat Thematic Mapper images.

Citation Download Citation

Ram Srinivasan "Image Restoration By Spatial Filter Design", Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986); https://doi.org/10.1117/12.937266

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