Digital Color Imaging
Gaurav Sharma,H. Joel Trussell +1 more
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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.read more
Citations
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Temporal full-colour tuning through non-steady-state upconversion
TL;DR: This work demonstrates a convenient, versatile approach to dynamically fine-tuning emission in the full colour range from a new class of core-shell upconversion nanocrystals by adjusting the pulse width of infrared laser beams and suggests that the unprecedented colour tunability from these nanocry crystals is governed by a non-steady-state upconverting process.
Journal ArticleDOI
A Survey of Digital Map Processing Techniques
TL;DR: This article presents an overview of existing map processing techniques, bringing together the past and current research efforts in this interdisciplinary field, to characterize the advances that have been made, and to identify future research directions and opportunities.
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Adaptive homogeneity-directed demosaicing algorithm
Keigo Hirakawa,T.W. Parks +1 more
TL;DR: The proposed demosaicing algorithm estimates missing pixels by interpolating in the direction with fewer color artifacts, and the aliasing problem is addressed by applying filterbank techniques to 2-D directional interpolation.
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Color image processing pipeline
TL;DR: An overview of the image processing pipeline is presented, first from a signal processing perspective and later from an implementation perspective, along with the tradeoffs involved.
Journal ArticleDOI
Vector filtering for color imaging
TL;DR: The proposed fully automated vector technique can be easily implemented in either hardware or software; and incorporated in any existing microarray image analysis and gene expression tool.
References
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Journal Article
A new approach to palette selection for color images
R. Balasubramanian,J. Allebach +1 more
TL;DR: This work applies the vector quantization algorithm proposed by Equitz to the problem of efficiently selecting colors for a limited image palette and incorporates activity measures both at the initial quantization step and at the merging step so that quantization is fine in smooth regions and coarse in active regions.
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Sequential scalar quantization of color images
TL;DR: An efficient algorithm for color image quantization is proposed based on a new vector quantization technique that is called sequential scalar quantization, which yields high-quality images and is significantly faster than existing quantization algorithms.
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Color Mixture and Fundamental Metamers: Theory, Algebra, Geometry, Application
Jozef Cohen,William E. Kappauf +1 more
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Model-based halftoning of color images
TL;DR: This work proposes a specific printer model that accounts for overlap between neighboring dots of ink and the spectral absorption properties of the inks, and shows that when a simple "one-minus-RGB" relationship between the red, green, and blue image specification and the corresponding cyan, magenta, and yellow inks is assumed, the algorithms are separated.
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Chromatic-discrimination axes, CRT phosphor spectra, and individual variation in color vision
Vivianne C. Smith,Joel Pokorny +1 more
TL;DR: A review of potential sources of biologic variability and its effect on the nominal axes in a cone-excitation diagram for a color monitor system and the consequences of such biological variability are rotation and translation of the axes for a given observer relative to the nominal axis that the observer used for color specification.