Computers in Biology and Medicine
Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
International Journal of Computer Vision
Scale selection for compact scale-space representation of vector-valued images
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Localization scale selection for scale-space segmentation
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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In this paper, an image denoising operator defined by a non-linear partial differential equation(PDE) is presented. Similar to the operators proposed by Perona, Malik and Catte et al., it can remove noise, enhance step-like edges and keep the locality of the edges. Its extra ability is to keep thin edges. The criterion for stopping time is also investigated. The new operator is capable of removing rather high uniform noise without sacrificing the details of the image. If the noise is Gaussian with not too high standard deviation, the result is also quite good.