By Topic

New approach to pixel-based fusion for multifocus images via blurring level measure

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)
Ying Jie Zhang ; Xian Jiaotong Univ., Xian ; Li-Ling Ge ; Yun Qian

A new pixel-based fusion approach for multi-focus images is proposed. To distinguish between the blurry and clear areas from the multifocus images, a block is defined for each pixel of images with the pixels as its center, and a blurring measure model is proposed to estimate the blurring levels of every point on the source images. Furthermore, to reduce the measure error on the points near the boundaries of the areas, the linear diffusion approach, known as the four point average method, is studied and applied. The proposed approach has been demonstrated by numerical experiments, and better fusion results have been achieved.

Published in:

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on  (Volume:2 )

Date of Conference:

2-4 Nov. 2007