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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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Proceedings ArticleDOI

An efficient directional distance filter for multi-band images

TL;DR: The obtained results indicate that the proposed EDDF can remove the impulse noise and Gaussian noise from RGB color images more effectively than the existing state-of-the-art technique.
Journal ArticleDOI

Discharge status diagnosis based on chromaticity coordinates

TL;DR: In this paper, a comprehensive method for converting the visible spectrum of discharge into chromaticity coordinates is presented, in which a large number of spectral data are transformed into a single chromaticallyity coordinate to diagnose the gas discharge directly and quickly, and the comprehensive evaluation of the discharge status is implemented.
Proceedings ArticleDOI

A Range Camera Collecting Multi-Spectral Texture for Architecture Applications

TL;DR: The proposed system is an effective tool for producing 3D content amenable to a great number of applications and in the multi-spectral nature of the textures which allow rendering with faithful colors and the automatism of 3D model construction.
Book ChapterDOI

Color Science and Engineering for the Display of Remote Sensing Images

TL;DR: This chapter discusses the color science issues that arise in the display and interpretation of artificially-colored remote-sensing images, and proposes solutions to create and refine visualizations to be more effective.
Proceedings ArticleDOI

Automatic analysis method of protein expression images based on generalized data field

TL;DR: Compared with image-pro plus software analysis, KM and EM, experiment results demonstrate that the protein expression can be extracted easily and objectively from an image by GDF, and noises of background are eliminated by the smoothing procedure of GDF.
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.