In this study, we present a method of chroma enhancement in the CIELAB color space and compare it with that RGB space. Color image using has disadvantage gamut problem occurs because conversion to is necessary display image. However, since based on human visual perception, quality resulting images expected be higher than space, introduce lookup table reduce calculation costs. Experiments compar...

In this study, the third order polynomial regression (PR) and deep neural networks (DNN) were used to perform color characterization from CMYK CIELAB space, based on a dataset consisting of 2016 samples which produced using Stratasys J750 3D printer. Five output variables including CIE XYZ, logarithm CIELAB, spectra reflectance principal components compared for performance printer characterizat...

Colour changes in Gradia Direct™ composite after immersion in tea, coffee, red wine, Coca-Cola, Colgate mouthwash, and distilled water were evaluated using principal component analysis (PCA) and the CIELAB colour coordinates. The reflection spectra of the composites were used as input data for the PCA. The output data (scores and loadings) provided information about the magnitude and origin of ...

Plant diseases have become an important issue because they cause important reduction in each quality and amount of agricultural products. Automatic detection of plant diseases is an important analysis topic because it could significantly help in observation giant fields, and enable automatic detection the symptoms of diseases as soon as they appear on the plant leaves. In this paper an algorith...

We present a systematic algorithm capable of searching for optimal colors for any lightness L* (between 0 and 100), any illuminant (D65, F2, F7, F11, etc.), and any light source reported by CIE. Color solids are graphed in some color spaces (CIELAB, SVF, DIN99d, and CIECAM02) by horizontal (constant lightness) and transversal (constant hue angle) sections. Color solids plotted in DIN99d and CIE...

Recent work in color difference has led to the recommendation of CIEDE2000 for use as an industrial color difference equation. While CIEDE2000 was designed for predicting the visual difference for large isolated patches, it is often desired to determine the perceived difference of color images. The CIE TC8-02 has been formed to examine these differences. This paper presents an overview of spati...

Studying color preferences provides a means to discover how perceptual experiences map onto cognitive and affective judgments. A challenge is finding a parsimonious way to describe and predict patterns of color preferences, which are complex with rich individual differences. One approach has been to model color preferences using factors from metric color spaces to establish direct correspondenc...

Colour parameters of European beech were measured using CIELab system. 103 logs from 87 trees in 9 sites were cut into boards to study the variations of wood colour parameters. Both site and tree effect on colour were observed. Patterns of red heartwood occurrence were defined. When excepting red heartwood there was still a highly significant effect of site and tree; differences remained after ...

The most used full reference image quality assessments are error-based methods. Thus, these measures are performed by pixel based difference metrics like Delta E ( E), MSE, PSNR, etc. Therefore, a local fidelity of the color is defined. However, these metrics does not correlate well with the perceived image quality. Indeed, they omit the properties of the HVS. Thus, they cannot be a reliable pr...

Color correction describes the transformation process between device RGB values and CIEXYZ resp. CIELab values. In every metamer color reproduction system this is the first color transformation after image acquisition. In general, this mapping is not unique since the spectral sensitivities of most of the devices do not satisfy the Luther condition and because the acquisition and viewing light s...