Histogram Filters for Noise Reduction
2003 (English)Conference paper (Other academic)
A class of filters based on histograms are presented. The signal probability density function is estimated and filtering is performed in the pdf domain. Such filters can be designed to preserve signal features such as sharp edges while suppressing stochastic variations. One particular histogram filter scheme is evaluated and compared to a median filter and a normal gaussian blurring filter.
Place, publisher, year, edition, pages
Biomedical Laboratory Science/Technology
IdentifiersURN: urn:nbn:se:liu:diva-61165OAI: oai:DiVA.org:liu-61165DiVA: diva2:360818
SSBA Symposium on Image Analysis, Stockholm, Sweden 6-7 mars 2003