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About 10,000 papers for “Color model”

Color linear model

Chang-Yeong Kim, Yang-Seok Seo, In-So Kweon · Lecture notes in computer science · 1997

Cited by 0Open access

Color management model for CRT color image

Xinwu Li, Gensheng Wang · Journal of Image and Graphics · 2015

目前色彩管理模型或是注重呈色原理分析,或是仅控制模型的输入输出两端,导致色彩转换精度不高。鉴于此在分析呈色原理的基础上,提出一种CRT显示图像色彩管理新模型。 采用标准色靶作为实验样本,结合显示器的呈色原理,以色靶的彩色梯尺区色块代表整个色空间用以推导模型,解决了显示器色彩校正中样本色块选择的难题;随后,重新解释尤尔—尼尔森方程的参数,使原本只适用于印刷网点图像的呈色模型也适用于非印刷网点图像;其次,结合尤尔—尼尔森方程和显示器呈色原理,利用修正后的缩张拟合算法分单色、双色和3色逐步修正和补偿色彩误差,推导出CRT显示器的色彩管理新模型。 本模型能够提高CRT显示器的色彩管理精度54%以上,能够用于工程实际中的CRT显示器色彩管理。 借助于其他图像设备的呈色原理,本文模型不仅能提高色彩转换精度,也具备较好的参考借鉴价值。

Cited by 0Open access

Model Probabilistic HSL Color Observation Model

Boris Schauerte, Gernot A. Fink · 2010

Images retrieved through Internet image search engines are often synthetic or highly processed Improve quality with a transformation that adds noise to approach natural distributions for artificial images 1) Probabilistic Hue-Saturation-Lightness color model to reflect degree of randomness of “measured ” colors 2) κ and σ define the degree of randomness and the randomized HSL transform resamples data for training Learning Color Terms 11 basic color terms in English (other colors are derived) Train color term models on randomized training data 1) Train initial models and use Χ ranking to remove outliers and images degraded by a huge amount of background 2) Probabilistic latent semantic analysis with a latent back-ground topic to learn the color models 3) Assign color term with highest likelihood (uniform prior)

Cited by 0

Adjustable Color Transformation Model

Davor Donevski, Ante Poljičak, Marija Prša et al. · 2019

Color management is an important part of the print production process. This paper presents a color transformation model which can provide all possible four-color solutions (CMYK) for a given aimed color (CIE L*a*b*). The model also allows quick adjustments of gamut mapping and total ink limit (TIL). The tests showed that the presented model is quite accurate. The model is less accurate for colors near the gamut boundary, but there is potential for improvements. Very high accuracy was achieved by avoiding gamut boundary colors. In practice, this is useful for application to image re-separation, usually with the aim of ink saving.

Cited by 4

Unified Color Harmony Model

Long Xu, Dongyuan Liu, Su Jin Park et al. · Color Research & Application · 2025

ABSTRACT Color harmony is an aesthetic sensation evoked by the balanced and coherent arrangement of the colors of visual elements. While traditional methods define harmonious subspaces from geometric relationships or numerical formulas, we employ a data‐driven approach to create a unified model for evaluating and generating color combinations of arbitrary sizes. By treating color sequences as linguistic sentences, we construct a color combinations generator using SeqGAN, a generative model capable of learning discrete data through reinforcement learning. The resulting model produces color combinations as much preferred as those by the best models of each size and excels at penalizing color combinations from random sampling. The distribution of the generated colors has more diverse hues than the input data, in contrast to the NLP‐based model that predominantly predicts achromatic colors due to exposure bias. The flexible structure of our model allows for simple extension to additional conditions such as group preference or emotional keywords.

Cited by 0

Enamels, Color Matching Model

M. Leaveaux, V. Duchamp, Margaux Perrin et al. · Ceramic engineering and science proceedings · 2007

As for a great number of coatings applied on a substrate, enamel also has to be colored besides its resistance and durability qualities. In applications such as architecture, culinary articles, domestic or sanitary appliances, the visual aspect is important as well as all other more technical characteristics. As a result, the professional in the field-enamel supplier or enameller, is continuously confronted with new requests from designers or marketing people. Today these requests have to be satisfied in an increasingly short period. If in the past the color was especially a matter of practical experience, the art man having to acquire as much knowledge as possible about frits, pigments and their combinations, today we cannot content ourselves with this situation and this for flexibility, reactivity or capacity reasons. Computer science can reinforce and complete this experience, and at the same time contribute to accelerating the whole color matching process. In this presentation, two different ways are presented. The first one uses a preliminary studied mixture plan, which enables, by using simple mathematical laws, approaching the searched result on condition that it is possible to realize this result starting from this preliminary set mixture plan. The second one examines the pigment characterization, which in this way creates a database used by calculation software that recomposes the required color. This system, in comparison to the previous one, has no other limit than the art limit. The two systems that were initially used in other industries (plastics, paintings, inks) have been adapted to the enamel industry.

Cited by 0

Model Based Color Tolerances

Nathan Moroney · Color and Imaging Conference · 1999

Mathematical models have been successfully used in a number of areas related to digital color imaging. In general the focus has been on using models to characterize the color reproduction properties of a device or to embody specific aspects of color perception. However, models can also be used to estimate color tolerances. This paper demonstrates how a simplified CIE gain, offset and gamma or GOG model for the CRT and CIECAM97s can be used to determine hardware and viewing condition tolerances for an sRGB monitor. Error curves and surfaces are derived for the gamma, offset and phosphor chromaticities. Similarly, error curves and surfaces are computed for luminance of the adapting field, adopted white point and the surround.

Cited by 5Open access

HSB Color Strategy model Based on Color Cognition and Color Emotion

Shibo Ji, Li Xia · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems · 2023

This paper aims to explore a color strategy model that quantify the parameters of color cognition and emotion using the HSB color model.This model uses scientific methods and technical tools to quantify cognition and emotion, which can be applied to digital ecology scenarios like universal digital terminals.To achieve this, we use machine learning models to study the color cognition law of individual physiological dimensions and the PAD emotional space algorithm to study the color emotion law of psychological dimensions.A decision model with two inputs (cognitive words and affective words) and one output (desired color) is constructed using a holistic generative design approach.This interdisciplinary research integrates principles from art, psychology, and computer science to explore the color strategy model of physiological and psychological dimensions which marks the beginning of theoretical research on interdisciplinary subjects such as Kansei Engineering.

Cited by 1Open access

Optimal Color Model for Information Hidingin Color Images

Ali Kadhim Mousa, Zainab Hussain Kadhim · Baghdad Science Journal · 2008

In present work the effort has been put in finding the most suitable color model for the application of information hiding in color images. We test the most commonly used color models; RGB, YIQ, YUV, YCbCr1 and YCbCr2. The same procedures of embedding, detection and evaluation were applied to find which color model is most appropriate for information hiding. The new in this work, we take into consideration the value of errors that generated during transformations among color models. The results show YUV and YIQ color models are the best for information hiding in color images.

Cited by 0Open access

Optimal Color Model for Information Hidingin Color Images

Baghdad Science Journal · Baghdad Science Journal · 2008

In present work the effort has been put in finding the most suitable color model for the application of information hiding in color images. We test the most commonly used color models; RGB, YIQ, YUV, YCbCr1 and YCbCr2. The same procedures of embedding, detection and evaluation were applied to find which color model is most appropriate for information hiding. The new in this work, we take into consideration the value of errors that generated during transformations among color models. The results show YUV and YIQ color models are the best for information hiding in color images.

Cited by 0Open access

Tooth Color Estimation Model Using Skin Color Parameters

D. Sai Supriya, T. Madhavi Padhma, K.V.N.R. Prathap et al. · International Journal of Allied Medical Sciences and Clinical Research · 2026

Color selection for discolored teeth or for edentulous patients is a subjective process in dentistry. To the best of the authors’ knowledge, there is no objective method for tooth color selection for edentulous patients. Several studies have investigated the relationship between tooth color and skin color and the ability to use skin color as a guide to select tooth color in dental rehabilitation cases. The objective of this study was to find and model the relationship between tooth color and skin color in equations to be able to predict tooth color by assessing skin color Aim: To investigate the relationship between tooth color and skin color in equations to predict tooth color by assessing skin color Objective: To investigate the opinions for understanding the relationship between tooth color and skin color in equations to predict tooth color by assessing skin color among the undergraduate dental students based on the gender. To investigate the opinions for understanding the relationship between tooth color and skin color in equations to predict tooth color by assessing skin color among the undergraduate dental students based on the year of study Method: A cross-sectional survey was conducted among 204 dental students, comprising 57 males (27.9%) and 147 females (72.1%). The survey included 15 questions about tooth color estimation using skin color parameters among undergraduate dental students were analyzed based on gender, age and year of study using chi-square tests to identify statistically significant differences.

Cited by 0Open access

Effective color correction method employing HSV color model

Jae-hyoung YU1, Young-tak KIM1, Nam-ki LEE1 et al. · SHILAP Revista de lepidopterología · 2012

This paper suggests a new algorithm to solve problems of the current retinex algorithm such as distortion of grey out and color noise due to the individual treatment of RGB channel and log function,and halo effect occurred by use of the Gaussian filter.The current retinex algorithm treats each channel in RGB space that brings a phenomenon to change the rate of RGB.To improve this phenomenon,the color information was fixed in the HSV color space,and retinex treatment was conducted against the V value,a luminance feature.Linear treatment was carried out to remove color noise occurred by the use of log function.S value,a saturation value was compensated in proportion to the change of V value in luminance to obtain a clearer image.The proposed algorithm was evaluated against the landscape images that had strong backlit phenomena,and it is proved to have a better performance than the current retinex algorithm,multiscale retinex with cdor restoration（MSRCR）.

Cited by 0Open access