Abstract
Processing of digital color images is often performed in a coordinate system related to the human visual system's perceptual attributes - luminance, hue, and saturation. However, the coordinate transformations of the color image data can be computationally intensive. Several efficient computational techniques are presented here for processing the luminance and saturation components of a color image. These techniques effectively eliminate the need for computing the coordinate transformations. A theoretical analysis and experimental results show the effects of these techniques in various color coordinate systems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 263-277 |
| Number of pages | 15 |
| Journal | Journal of Visual Communication and Image Representation |
| Volume | 8 |
| Issue number | 3 |
| State | Published - Sep 1997 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Efficient Luminance and Saturation Processing Techniques for Color Images. / Yang, Christopher C.; Rodriguez, Jeffrey J.
In: Journal of Visual Communication and Image Representation, Vol. 8, No. 3, 09.1997, p. 263-277.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Efficient Luminance and Saturation Processing Techniques for Color Images
AU - Yang, Christopher C.
AU - Rodriguez, Jeffrey J
PY - 1997/9
Y1 - 1997/9
N2 - Processing of digital color images is often performed in a coordinate system related to the human visual system's perceptual attributes - luminance, hue, and saturation. However, the coordinate transformations of the color image data can be computationally intensive. Several efficient computational techniques are presented here for processing the luminance and saturation components of a color image. These techniques effectively eliminate the need for computing the coordinate transformations. A theoretical analysis and experimental results show the effects of these techniques in various color coordinate systems.
AB - Processing of digital color images is often performed in a coordinate system related to the human visual system's perceptual attributes - luminance, hue, and saturation. However, the coordinate transformations of the color image data can be computationally intensive. Several efficient computational techniques are presented here for processing the luminance and saturation components of a color image. These techniques effectively eliminate the need for computing the coordinate transformations. A theoretical analysis and experimental results show the effects of these techniques in various color coordinate systems.
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UR - http://www.scopus.com/inward/citedby.url?scp=0031222518&partnerID=8YFLogxK
M3 - Article
VL - 8
SP - 263
EP - 277
JO - Journal of Visual Communication and Image Representation
JF - Journal of Visual Communication and Image Representation
SN - 1047-3203
IS - 3
ER -