DocumentCode
1702842
Title
Adaptive edge enhancement based on anisotropic image interpolation
Author
Hsieh, Sheng-Hsien ; Chen, Ching-Han ; Tseng, Yuan-Wei
Author_Institution
Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
fYear
2010
Firstpage
3286
Lastpage
3290
Abstract
This paper proposes an anisotropic probabilistic neural network image interpolation (APNNI2). The method used anisotropic Gaussian kernel to improve probabilistic neural network image interpolation (PNNI2) which caused blurring edge. The method is better for sharpness enhancement at edge region. We interpolate slanted-edge image to observe blurring and blocking effect. Finally, we report the performance of these newly proposed methods in other image interpolation method.
Keywords
edge detection; image enhancement; image restoration; interpolation; neural nets; probability; adaptive edge enhancement; anisotropic Gaussian kernel; anisotropic probabilistic neural network image interpolation; blurring edge; sharpness enhancement; Artificial neural networks; Digital images; Electrical engineering; Image edge detection; Interpolation; Particle swarm optimization; Probabilistic logic; Anisotropic; Interpolation; Particle swarm optimization; Probabilistic neural networks; Single neuron;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5555022
Filename
5555022
Link To Document