Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to reduce noise. In this paper we present an algorithm based on density estimation t...
The paper discusses the role of invariance in image processing, specifically the desire to discriminate against unwanted variations in the scene while maintaining the power to tel...
Arnold W. M. Smeulders, Jan-Mark Geusebroek, Theo ...
Radio-astronomical observations are increasingly contaminated by interference, and suppression techniques become essential. A powerful candidate for interference mitigation is ada...
The structure of biocenosis is a powerful indicator for the condition of and changes in quality of the ecosystem. Identification and quantification of populations of microorganism...
Burkhard A. Hense, Karsten Rodenacker, Peter Gais,...
In this paper, a new anisotropic diffusion noise filtering technique is proposed. The technique has two specific features: it is designed for vector-valued images in general and f...