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.
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Matsumoto, M. (2012). Edge Preserving Smoothing by Self-quotient Referring ε-filter for Images under Varying Lighting Conditions. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_22
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DOI: https://doi.org/10.1007/978-3-642-33564-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33563-1
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