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Open AccessJournal ArticleDOI

Digital Color Imaging

TLDR
A survey of color imaging can be found in this article, where the fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology, along with common mathematical models used for representing these devices.
Abstract
This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along with the common mathematical models used for representing these devices. Algorithms for processing color images for display and communication are surveyed, and a forecast of research trends is attempted. An extensive bibliography is provided.

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Citations
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Journal ArticleDOI

Concerning the calculation of the color gamut in a digital camera

TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about how materials are collected and processed for use in the classroom.
Journal ArticleDOI

Color asymmetry in 3D imaging: Influence on the viewing experience

TL;DR: An increase in color asymmetry between the viewer's left-eye and right-eye images decreased the image quality evaluation scores, and some content-specific features were less sensitive to changes compared to close-up images with brighter objects and backgrounds.
Journal ArticleDOI

Rainbow color map distorts and misleads research in hydrology – guidance for better visualizations and science communication

TL;DR: To overcome the use of the rainbow color maps in science, some tools and techniques focusing on improvement of typical visualization types in hydrological science are proposed and guidance on how to avoid, improve and trust color in a proper and scientific way is given.
Journal ArticleDOI

Colour Correlation-based Matching

TL;DR: Nine color spaces and three different methods have been investigated to evaluate their suitability for stereo matching and the results show to what extent stereo matching can be improved with color.
Book ChapterDOI

Bag---of---Colors for biomedical document image classification

TL;DR: In this article, the importance of color in addition to the frequently used texture and grey level features was evaluated for biomedical image classification and it was shown that bags-of-colors in combination with the Scale-Invariant Feature Transform (SIFT) provided an image representation allowing to improve the classification quality.
References
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Some methods for classification and analysis of multivariate observations

TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
Journal ArticleDOI

Least squares quantization in PCM

TL;DR: In this article, the authors derived necessary conditions for any finite number of quanta and associated quantization intervals of an optimum finite quantization scheme to achieve minimum average quantization noise power.
Journal ArticleDOI

An Algorithm for Vector Quantizer Design

TL;DR: An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data.
Book

Vector Quantization and Signal Compression

TL;DR: The author explains the design and implementation of the Levinson-Durbin Algorithm, which automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing a Quantizer.
Journal ArticleDOI

Lightness and Retinex Theory

TL;DR: The mathematics of a lightness scheme that generates lightness numbers, the biologic correlate of reflectance, independent of the flux from objects is described.