4 September 1979 Image Restoration With A Locally Variable Wiener Filter
Author Affiliations +
Proceedings Volume 0186, Digital Processing of Aerial Images; (1979); doi: 10.1117/12.957508
Event: 1979 Huntsville Technical Symposium, 1979, Huntsville, United States
The parametric Wiener filter is often used to deblur images that are relatively noise-free. If noise is more severe, the restored image may be obscured by a granular pattern that results when the noise is subjected to the deblurring filter. This effect may be reduced by using a larger noise parameter, but this leads to a restoration that is less sharp. We describe how the noise parameter may be varied from pixel to pixel, so that it is larger only where noise is greater. Pixels with low signal-to-noise ratios are identified by a thresholding process and by comparison with nearest neighbors. The effects of the estimated Wiener spectra on the restored image are discussed.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. J. Lahart, "Image Restoration With A Locally Variable Wiener Filter", Proc. SPIE 0186, Digital Processing of Aerial Images, (4 September 1979); doi: 10.1117/12.957508; https://doi.org/10.1117/12.957508

Point spread functions

Image processing

Image filtering

Image restoration

Filtering (signal processing)

Signal to noise ratio

Digital signal processing


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