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20 November 1986 Image Restoration By Spatial Filter Design
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Proceedings Volume 0707, Visual Communications and Image Processing; (1986)
Event: Cambridge Symposium-Fiber/LASE '86, 1986, Cambridge, MA, United States
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ram Srinivasan "Image Restoration By Spatial Filter Design", Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986);

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