Paper Info
Title
Image Magnification Based on the Properties of Human Visual Processing
Abstract
Image magnification is among the basic image processing operations. The most commonly used techniques for image magnification are based on interpolation method. However, the magnified images produced by the techniques, such as nearest neighbor, bilinear and cubic method, often appear a variety of undesirable image artifacts such as 'blocking' and 'blurring' into the several processing for image magnification. In this paper, we propose image magnification method by properties of human visual system which reduce information during transforming from receptors to ganglion cells in retina and magnify information at visual cortex. Our method uses the whole image to exactly detect the edge information of the image and then emphasizes edge information. Experiment results show that the proposed method solves the drawbacks of the image magnification, such as blocking and blurring, and has a higher PSNR and Correlation than the traditional methods.
Year
DOI
Venue
2007
10.1007/978-3-540-72395-0_113
ISNN (3)
Keywords
Field
DocType
human visual processing,traditional method,image magnification,image magnification method,edge information,undesirable image artifact,interpolation method,cubic method,basic image processing operation,whole image,nearest neighbor,human visual system,edge detection,image processing
Computer vision,Image gradient,Feature detection (computer vision),Pattern recognition,Computer science,Human visual system model,Image texture,Binary image,Image processing,Artificial intelligence,Magnification,Image restoration
Conference
Volume
ISSN
Citations 
4493
0302-9743
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Sung-Kwan Je164.30
kwangbaek kim211043.94
Jin-Young Lee300.34
Jae-Hyun Cho42011.08