论文信息 - Optimal filters from prior filters

Optimal filters from prior filters

The present paper introduces a method for automatically designing optimal binary filters by beginning with a prior filter and then altering this filter in the presence of sample pairs of ideal and degraded image realizations. The technique includes as a special case the method of differencing used for digital documents, and when an appropriate prior filter is used, can significantly improve the precision of filter estimation. Besides outlining design from prior filters and providing examples, the paper provides expressions for error of estimation.

Edward R. Dougherty | Junior Barrera | Nina Sumiko Tomita

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