Video denoising using fuzzy-connectedness principles

Ling, Wing-Kuen and Tam, Kwong-Shun (2001) Video denoising using fuzzy-connectedness principles. In: International Symposium on Intelligent Multimedia, Video and Speech Processing, May 2001, Hong Kong.

conference_multimedia_video_denoising.pdf - Whole Document

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Fuzzy-connectedness principles are effective for image segmentation. In this paper, such a principle is applied to video denoising. Assume a video signal suffers from both additive white Gaussian noise and impulsive noise. The corrupted signal is filtered by a fuzzy system, which fuzzily connects a Wiener filter and a median filter together. The simulation results show that the fuzzy-connectedness approach produces desirable outputs.

Additional Information:"c) 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Programme at:
Keywords:fuzzy-connectedness principles, image segmentation, video denoising, additive white Gaussian noise, impulsive noise, Wiener filter, median filter
Subjects:H Engineering > H610 Electronic Engineering
Divisions:College of Science > School of Engineering
ID Code:3129
Deposited On:01 Aug 2010 20:44

Repository Staff Only: item control page