Edge enhancement using adaptive lateral inhibition

Lateral inhibition is a technique to enhance the sharpness of images, which is developed from Hartline's research on sensory inhibition. Conventional lateral inhibition operates on the entire image like high-pass filter, which also strengthens noise besides edges. Thus this paper proposes an ad...

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Bibliographic Details
Published inProceedings of 2013 3rd International Conference on Computer Science and Network Technology pp. 1133 - 1137
Main Authors Shaosheng Dai, Zhihui Du, Yang Zhang, Yunqi Hu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2013
Subjects
anisotropic inhibition intensity distribution
color distribution feature
Compass
edge enhancement
Equations
Gray-scale
Image color analysis
Image edge detection
lateral inhibition
Mathematical model
Noise
Ruzon compass operator
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Summary:Lateral inhibition is a technique to enhance the sharpness of images, which is developed from Hartline's research on sensory inhibition. Conventional lateral inhibition operates on the entire image like high-pass filter, which also strengthens noise besides edges. Thus this paper proposes an adaptive lateral inhibition based on the features of the image's color distribution detected by improved Ruzon compass operator. In the proposed algorithm, edge's strength, orientation and two sides' extension to blurred edge are detected from color distribution in sub-region. Through given functions with calculated strength, anisotropy and polarization, it is easy to generate corresponding inhibition intensity distribution to enhance the edges of the image. Experimental results show that the proposed method can significantly improve image's visual effect, whose each edge is enhanced with particular strength, color and orientation while the noise will not.
DOI:10.1109/ICCSNT.2013.6967302