Cart (Loading....) | Create Account
Close category search window

Blocky noise reduction for JPEG images using total variation minimization

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
$31 $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

3 Author(s)
Goto, T. ; Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan ; Komatsu, R. ; Sakurai, M.

Recently, the opportunity to treat still images has increased, and a lot of devices such as laptop displays and digital cameras have been developed, therefore, a large amount of data is stored and is transmitted after a compression. One of the most famous international standards for still image compression is JPEG, in which the DCT (Discrete Cosine Transform) is processed and the DCT coefficients are quantized in each DCT block, so that reconstructed images include the blocky noise and the mosquito noise. Therefore, we propose a new method for reducing the blocky noise and the mosquito noise using total variation minimization approach. In the proposed method, by using the total variation filter, an image is decomposed to a skeleton component, which consists of smooth luminance and edges, and a texture component, which consists of small signals and noise. The Sobel filter is used for edge detection from the skeleton component, and the texture component corresponding to around the edges are filtered by using the Median filter. As a result, the blocky noise and mosquito noise in the reconstructed images are reduced, and fine images are obtained.

Published in:

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Date of Conference:

8-10 Dec. 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.