By Topic

Applying an Improved Neural Network to CCD Noise Removal in Digital 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
$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

2 Author(s)
Chao Deng ; Coll. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China ; Bi Bo Lu

In this paper, an improved neural network is applied to CCD noise removal in digital image. According to the characteristics of the nonlinear response function in the CCD camera, the denoising scheme is based on the adaptive window sizes and parameter of the filter. The improved NN both approaches to CCD PTC (photon transfer curve) and classifies it in nonlinearity and assigns the optimum coefficient to the filter window and parameter in order to remove the noise appositely. Visual evaluation and method with detailed statistical analysis prove that the filter can remove the noise apparently while reserving the image edge and improving the SNR, the filter also enhances the efficiency and precision of the image processing by improving the deficiency of BP method.

Published in:

Information and Computing Science, 2009. ICIC '09. Second International Conference on  (Volume:2 )

Date of Conference:

21-22 May 2009