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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5555022
