Paper
22 December 1998 Color representation using scalar chrominance
Maciej Bartkowiak, Marek Domanski
Author Affiliations +
Abstract
The paper deals with color image and video representation that consists of two components instead of three. The first component is luminance defined in a usual way. The second component is scalar chrominance obtained from two chrominance components to one scalar chrominance is a vector quantization task which can be performed quite efficiently using a binary split algorithm. Experimental results for color images in CIF and QCIF resolution prove that application of a codebook with 20-60 different scalar chrominances leads to a representation that is mostly indistinguishable from the original images. Since the sets of scalar chrominance values are small, scalar chrominance samples need only short binary representations. Moreover scalar chrominance can be subsampled as chrominance usually is. The mapping of the set of chrominance value pairs on a subset of integer numbers defines an order in the codebook. This order is also an important issue as it influences spectrum of the picture of scalar chrominance and exhibits substantial impact on further compression and processing of scalar chrominance.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maciej Bartkowiak and Marek Domanski "Color representation using scalar chrominance", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334571
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KEYWORDS
Video

Image compression

Quantization

Binary data

Video compression

Image resolution

Digital imaging

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