A Method for Specifying the Noise Suppression-Resolution Tradeoff in Digital Image Filtering with Local Statistics.
NAVAL RESEARCH LAB WASHINGTON DC
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A modification of Lees local-statistics method is developed for digital image noise filtering without the need for a user-specified noise level. Instead, the user specifies an approximate upper size limit for image features he is willing to regard as noise. A noise level is then estimated automatically for each local region of the image by partitioning the region into subregions and exploiting the differing degrees of spatial correlation for signal and noise. Extensions for use with multiplicative noise, third-moment statistics, and edge-detection schemes are discussed briefly. Examples are given for an image of 256 x 256 pixels. Author
- Statistics and Probability