Edge preserving smoothing by self-quotient referring ε-filter for images under varying lighting conditions

Authors:
Mitsuharu Matsumoto
Affiliations:
The Education and Research Center for Frontier Science, The University of Electro-Communications, Chofu-shi, Tokyo, Japan
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

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Abstract

This paper describes self-quotient referring ε-filter for images under varying lighting conditions. Edge preserving smoothing is a fundamental feature extraction from the image for multimedia applications. ε-filter is a nonlinear filter, which can smooth the image while preserving edge information. The filter design is simple and it can effectively smooth the image. However, when we handle the image under light variation, the contrast of edge part is low in low contrast area, while it is high in high contrast area. Hence, the existing edge-preserving filters cannot preserve the edge information around low contrast area. Our method solves this problem by combining self-quotient filter and ε-filter. To confirm the effectiveness of the proposed method, we conducted some comparison experiments on face beautification.