ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Anisotropic Morphological and LLSURE Based Edge Preserving Image Filtering?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 7)

Publication Date:

Authors : ;

Page : 322-326

Keywords : Edge preserving image filtering; Stein’s unbiased risk estimate (SURE); Anisotropic morphological filter; Diagonal normalized steepest descent; Noise level function;

Source : Downloadexternal Find it from : Google Scholarexternal


This paper gives a new filtering technique for high quality edge preserving image filtering. Filtering is perhaps the most important operation of image processing and computer vision, and it is used extensively in a wide range of applications, including image smoothing and sharpening, noise removal, resolution enhancement and reduction, feature extraction, and edge detection. The anisotropic morphological filter is based on the shape and orientation of structuring element at each pixel. The Anisotropic Morphological filters are employed on binary and gray-level images for improvement of anisotropic features such as coherent, flow-like arrangements. This paper also presents a review on various filtering techniques emerged recently. The survey is represented in tabular form for quick reference.

Last modified: 2013-07-27 19:30:30