By Topic

A novel method based on adaptive median filtering and wavelet transform in noise images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ying Ma ; Xi'an Research Inst. of High-tech. Xi'an, shaanxi, China, 710025 ; Junshan Li

An image is often corrupted by much noise visible or invisible while being collected, acquired, coded and transmitted. Noise impairs the quality of the received image severely and may cause a big problem for further image processing. In order to improve the quality of an image, the noise must be removed when the image is preprocessed, and the important signal features should be retained as much as possible. The methodology of image denoising is studied in this paper base on median filter and wavelet theory, in the setting of additive salt and pepper noise or white Gaussian noise. In the first phase, Canny edge detection is used in edge detection of the noise image to get the basic outline; In the second phase, an ameliorative adaptive median filter(adaptive variational threshold value) is used to remove salt noise; In the third phase, Coiflet wavelet system used to remove pepper noise; at last, processing images linking to get final images.

Published in:

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Date of Conference:

27-29 May 2011