DocumentCode :
3710262
Title :
Image upsizing with adaptive Wiener filtering method using self-prediction
Author :
IlHong Shin;Hyun-Woo Lee
Author_Institution :
Media Networking Research Team, Electronics and Telecommunication Research Institute, Daejeon, South Korea
fYear :
2015
Firstpage :
563
Lastpage :
565
Abstract :
In this paper, a straightforward and effective method for image upsizing is presented; upsizing is considered to be an essential operation in image processing. The Wiener filtering method is a well-known optimal framework for signal prediction, which provides information of original and degraded signals. In image upsizing, the Wiener filtering framework is not valid because of the missing information about the upsized target image. The proposed method employs a self-prediction scheme where a down-sampled image of the original image is used for the Wiener filter prediction and the obtained filter coefficient is actually used in the upsizing of the original image. The experimental validation shows improvement in both visual and objective quality.
Keywords :
"Wiener filters","Adaptive filters","Filtering","Visualization","Kernel","Spatial resolution"
Publisher :
ieee
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICTC.2015.7354610
Filename :
7354610
Link To Document :
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