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Lightness filtering in color images with respect to the gamut

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When image processing operations are performed on color images, it is normal that the production of out-of-gamut pixels is not prevented. The gamut mapping may reduce the effect of the image processing algorithm. In this paper we propose a generic method that allows grey image processing for lightness processing on color images without exceeding the limits of the gamut of the technique or device.

In the proposed method the lightness processing is a function of the color of the pixel in question, the desired lightness change and a maximum and minimum lightness change per pixel. This maximum and minimum depend on the position of the pixel in the gamut of the output device and the relation between the lightness change and the chroma change. The hue of all pixels is kept constant. The monotonic character of the lightness correction guarantees that all points that were different before the lightness correction, remain different.

The results of the proposed method are shown for two greyvalue image processing algorithms: 1) sharpening and 2) contrast improvement using gamma manipulation.

For these two applications the gamut-limiting process is only advisable when the limiting is applied to the lightness dimension, rather than the chroma dimension.
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Document Type: Research Article

Publication date: January 1, 2006

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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