Paper
10 December 1986 Luminance, Hue, And Saturation Processing Of Digital Color Images
Robin N. Strickland, Cheol-Sung Kim, William F. McDonnell
Author Affiliations +
Abstract
Much of the work done in digital enhancement and image restoration has been limited in application to black and white images. The extension to color image processing is not trivial. Most workers agree that processing should take place in a three-dimensional space whose dimensions reflect the visual attributes of luminance, hue, and saturation. Different schemes have been developed over the years for expressing these attributes in terms of the well known red, green, and blue primaries (RGB) components. In this paper we first discuss our choice of color space for computer image enhancement. Our strategy for processing is to display each attribute as a black and white digital image; each attribute is then processed independently to achieve the desired enhancement. Contrast and sharpness enhancement techniques are discussed. The computer processing algorithms are restricted to those which preserve the natural appearance of the scene.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robin N. Strickland, Cheol-Sung Kim, and William F. McDonnell "Luminance, Hue, And Saturation Processing Of Digital Color Images", Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); https://doi.org/10.1117/12.976230
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image enhancement

RGB color model

Image processing

Digital image processing

Color image processing

Algorithm development

Photography

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