Abstract:Abstract. This paper presents an approach to image filtering that is driven by the properties of the iso-valued level curves of the image and their relationship with one another. We explore the relationship of our algorithm to existing probabilistically driven filtering methods such as those based on kernel density estimation, local-mode finding and meanshift. Extensive experimental results on filtering gray-scale images, color images, gray-scale video and chromaticity fields are presented. In contrast to exis… Show more
“…More recently, new approaches based on spatially-varying regressions  and spatially varying convolutions  have also been developed. An approach to filtering using level curves in a mean-shift framework has been developed in .…”
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