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Open AccessJournal ArticleDOI

Digital Color Imaging

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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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Proceedings ArticleDOI

An improved segmentation algorithm of color image in complex background based on graph cuts

TL;DR: A new algorithm to segment the interested object from complex background is proposed based on connected components that uses the improved K-means clustering in the LUV color space to get more accurate classifications of the labeled pixels.
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CodeCube : A multi-layer color barcode for mobile social applications

TL;DR: Experimental results show that the proposed CodeCube can be an effective and practical mobile society application and proposes a blur aware border methodology to eliminate color blur caused by different color module border.
Proceedings ArticleDOI

A fast color constancy scheme for automobile video cameras

TL;DR: The proposed CC scheme uses combination of a static method for illuminant estimation called White Patch Retinex (WPR) and a computationally efficient linear transformation model for WB correction of the images to avoid the field flicker noise.
Proceedings Article

A perceptually optimized JPEG-LS coder for color images

TL;DR: In this paper, the JPEG-LS coder in the near-lossless compression mode is perceptually optimized by making coding errors imperceptible or minimally noticeable, and the performance of the perceptually optimize coder is superior to that of the un-optimized coder for achieving the same visual quality.
Journal ArticleDOI

Development of micromarkers with various photoluminescence colors as tracers for shadowing pursuits.

TL;DR: Micromarkers with five photoluminescence colors were developed as tracers for shadowing pursuits and were non-destructively identified using a microscopic FT-IR spectrometer and a microscopic spectrometers equipped with a fluorescence detector.
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.