By Topic

Super resolution image reconstruction algorithm based on S+P transformation and interpolation

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 $33
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

4 Author(s)
Lihong Zhang ; Sch. of Phys. & Electron. Eng., Shanxi Univ., Taiyuan, China ; Xiantao Hou ; Xiaokai Wang ; Hui Zhang

According to characteristics of image stratification transformation and interpolation processing, this paper proposes an image sequences super resolution reconstruction method based on S+P transformation and interpolation algorithm, which can improve the image resolution. Experiments show that this method can properly retain the details in original image. After being processed using interpolation and S+P reconstruction, the image obtained will be of higher resolution, better visual effect, higher Peak Signal Noise Ratio (PSNR) and more detail information. Therefore, this algorithm is an effective method of super resolution image reconstruction.

Published in:

Wireless, Mobile and Multimedia Networks (ICWMNN 2010), IET 3rd International Conference on

Date of Conference:

26-29 Sept. 2010