Dynamic block coding for image filtration in medical applications
Somashekhar Swamy, Pallavi Kulkarni · 2016
Image noise effects were observed in various real time applications. In different critical analysis such as astronomical data analysis, metrological data analysis, medical data analysis, information's at finer level representation are more important. Finer information's, are basically condensed in a compressed image. To visualize these finer information's, image zooming are done, where images in zoom level reflects a blurriness in the visualization. This paper develops a new approach to image filtration process using dynamic block coding for image denoising and information preservation. The suggested approach is evaluated over medical images to validate its performances.