Adaptive box filters for removal of random noise from digital images

Details Adaptive box filters for removal of random noise from digital images Adaptive box filters for removal of random noise from digital images

Apr 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990pgers..56..453e&link_type=abstract

Photogrammetric Engineering and Remote Sensing (ISSN 0099-1112), vol. 56, April 1990, p. 453-458.

Physics

9

Adaptive Filters, Image Processing, Noise Reduction, Random Noise, Algorithms, Error Analysis, Pixels

Scientific paper

Adaptive box-filtering algorithms to remove random bit errors and to smooth noisy data have been developed. For both procedures, the standard deviation of those pixels within a local box surrounding each pixel is used. A series of two or three filters with decreasing box sizes can be run to clean up extremely noisy images and to remove bit errors near sharp edges. The second filter, for noise smoothing, is similar to the 'sigma filter' of Lee (1983). The technique effectively reduces speckle in radar images without eliminating fine details.

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