作者: V. Kamalaveni , R. Anitha Rajalakshmi , K.A. Narayanankutty
DOI: 10.1016/J.PROCS.2015.08.087
关键词: Heat equation 、 Noise reduction 、 Mathematical optimization 、 Diffusion 、 Edge (geometry) 、 Computer science 、 Anisotropic diffusion 、 Image gradient 、 Level set 、 Filter (signal processing) 、 Mathematical analysis
摘要: Abstract Anisotropic diffusion is used for both image enhancement and denoising. The Perona-Malik model makes use of anisotropic to filter out the noise. In rate controlled by edge stopping function. drawback that sharp edges fine details are not preserved well in denoised image. But can be using appropriate We have analysed effect different functions terms how efficient they preserving edges. found an function which stops from low gradient onwards preserves details. This property will also result lower evolution case level set methods. high preserve details, since blurred due diffusion. values threshold parameter than parameter. By utilizing or has zero insignificant value at gradient, we