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Proceedings Paper

Laplacian filter based on color difference for image enhancement
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Paper Abstract

The use of the Laplacian operator to enhance grayscale images by edge sharpening is widely known. The discrete application of this operator is made by convolving a mask whose kernel computes the weighted differences between neighbor pixels. The operator was extended to color images by applying it to each R, G, B, component separately and combining the result to yield the enhanced color image. In this work we apply the Laplacian operator to a color image by computing color differences between neighbor pixels in the CIELAB (CIEDE2000) space. The perceptual channels of Luminance, Chroma and Hue are used to obtain the resulting enhanced color image. N4 and N8-neighborhoods are considered. The results are compared with those obtained using the RGB channels separately. Using the Laplacian based on color difference, we obtain improved edge sharpening and artifact reduction in the resulting image.

Paper Details

Date Published: 21 October 2004
PDF: 6 pages
Proc. SPIE 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, (21 October 2004); doi: 10.1117/12.590932
Show Author Affiliations
Maria Sagrario Millan Garcia-Verela, Univ. Politecnica de Catalunya (Spain)
Edison Valencia, Univ. Politecnica de Catalunya (Spain)


Published in SPIE Proceedings Vol. 5622:
5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications
Aristides Marcano O.; Jose Luis Paz, Editor(s)

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