scholarly journals Weighted LabPQR Interim Connection Space Based on Human Color Vision for Spectral Color Reproduction

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Guangyuan Wu ◽  
Zhen Liu ◽  
Shengwei Yang ◽  
Ming Zhu ◽  
Pan Liu
Keyword(s):  
Weight Function ◽  
Color Vision ◽  
The Other ◽  
Weight Functions ◽  
Matching Function ◽  
Color Reproduction ◽  
Color Information ◽  
Visual Color ◽  
Human Color Vision ◽  
Connection Space

A weighted LabPQR interim connection space, based on human color vision, is proposed for retaining more visual color information. A new weight function proposed in our paper is connected with color-matching function and then further weighted the PQR dimensions of LabPQR compared with the other two weight functions and nonweight function. The results indicated that weighting obviously improved the colorimetric representing accuracy and robustness compared with nonweighting, and the new weight function outperformed the other two weight functions. The weighted LabPQR of the new weight function is most suitable for spectral color reproduction.

The interim connection space based on human color vision for spectral color reproduction

2012 ◽  
Vol 29 (6) ◽  
pp. 1027 ◽  
Author(s):  
Xiandou Zhang ◽  
Qiang Wang ◽  
Jincheng Li ◽  
Ping Yang ◽  
Jieyue Yu
Keyword(s):  
Color Vision ◽  
Color Reproduction ◽  
Human Color Vision ◽  
Connection Space

Evaluation Accepted Small Color-Difference Samples by Using High Glossy Ink-Jet Paper

2011 ◽  
Vol 380 ◽  
pp. 179-182
Author(s):  
Jing Liang ◽  
Ning Fang Liao ◽  
Yu Sheng Lian ◽  
Yuan Yuan Wang
Keyword(s):  
Color Vision ◽  
Color Space ◽  
Visual Assessment ◽  
Color Difference ◽  
Normal Color Vision ◽  
Visual Color ◽  
Difference Formula ◽  
Ink Jet ◽  
Human Color Vision ◽  
High Range

In order to study the human color vision characteristics, the small color-difference discrimination threshold experiment at the 17 basic CIE color centers of high range of gloss color printed samples. A panel of 10 observers with normal color vision performed the visual assessment to 510 pairs of samples using admissibility method. The evaluation data of visual color-difference were obtained in CIELAB color space. The detailed comparision indicated that the data were used evaluate the four common color-difference formula, CIELAB, CIE94, CMC and CIEDE2000. The detailed analysis indicated that CIELAB recommended by CIE Performanced the best among the four modern color difference. For predicting very small color datas. The experimental data provides references for the improvement of uniform color space and color-difference formula.

scholarly journals COLOR SEGMENTATION OF MGG COLORED CYTOLOGICAL IMAGES USING NON LINEAR OPPONENT COLOR SPACES

2013 ◽  
Vol 32 (3) ◽  
pp. 167
Author(s):  
Hélène Gouinaud ◽  
Lara Leclerc
Keyword(s):  
Color Image ◽  
Color Image Segmentation ◽  
Segmentation Method ◽  
Color Information ◽  
Viable Cells ◽  
Extension Model ◽  
Visual Color ◽  
Opponent Color ◽  
Human Color Vision ◽  
Logarithmic Image Processing

This paper presents a color image segmentation method for the quantification of viable cells from samples obtained after cytocentrifugation process and May Grunwald Giemsa (MGG) coloration and then observed by optical microscopy. The method is based on color multi-thresholding and mathematical morphology processing using color information on human visual system based models such as CIELAB model, LUX (Logarithmic hUe eXtension) model and CoLIP (Color Logarithmic Image Processing) model, a new human color vision based model also presented in this article. The results show that the CoLIP model, developed following each step of the human visual color perception, is particularly well adapted for this type of images.

Lower Bounds to the Eigenvalues in One-Dimensional Problems by a Shift in the Weight Function

1970 ◽  
Vol 37 (2) ◽  
pp. 267-270 ◽  
Author(s):  
D. Pnueli
Keyword(s):  
Lower Bound ◽  
Weight Function ◽  
Lower Bounds ◽  
Variational Formulation ◽  
Ritz Method ◽  
The Other ◽  
One Dimensional ◽  
Systematic Shift ◽  
The One ◽  
Detailed Computation

A method is presented to obtain both upper and lower bound to eigenvalues when a variational formulation of the problem exists. The method consists of a systematic shift in the weight function. A detailed procedure is offered for one-dimensional problems, which makes improvement of the bounds possible, and which involves the same order of detailed computation as the Rayleigh-Ritz method. The main contribution of this method is that it yields the “other bound;” i.e., the one which cannot be obtained by the Rayleigh-Ritz method.

Bipolar or rectified chromatic detection mechanisms?

2001 ◽  
Vol 18 (1) ◽  
pp. 127-135 ◽  
Author(s):  
MARCEL J. SANKERALLI ◽  
KATHY T. MULLEN
Keyword(s):  
Color Vision ◽  
Masking Effect ◽  
Yellow Light ◽  
Detection Thresholds ◽  
Noise Masking ◽  
Human Color Vision ◽  
Early Processing ◽  
The Cross ◽  
On And Off Pathways ◽  
Luminance Increment

It is widely accepted that human color vision is based on two types of cone-opponent mechanism, one differencing L and M cone types (loosely termed “red–green”), and the other differencing S with the L and M cones (loosely termed “blue–yellow”). The traditional view of the early processing of human color vision suggests that each of these cone-opponent mechanisms respond in a bipolar fashion to signal two opponent colors (red vs. green, blue vs. yellow). An alternative possibility is that each cone-opponent response, as well as the luminance response, is rectified, so producing separable signals for each pole (red, green, blue, yellow, light, and dark). In this study, we use psychophysical noise masking to determine whether the rectified model applies to detection by the postreceptoral mechanisms. We measured the contrast-detection thresholds of six test stimuli (red, green, blue, yellow, light, and dark), corresponding to the two poles of each of the three postreceptoral mechanisms. For each test, we determined whether noise presented to the cross pole had the same masking effect as noise presented to the same pole (e.g. comparing masking of luminance increments by luminance decrement noise (cross pole) and luminance increment noise (same pole)). To avoid stimulus cancellation, the test and mask were presented asynchronously in a “sandwich” arrangement (mask-test-mask). For the six test stimuli, we observed that noise masks presented to the cross pole did not raise the detection thresholds of the test, whereas noise presented to the same pole produced a substantial masking. This result suggests that each color signal (red, green, blue, and yellow) and luminance signal (light and dark) is subserved by a separable mechanism. We suggest that the cone-opponent and luminance mechanisms have similar physiological bases, since a functional separation of the processing of cone increments and cone decrements could underlie both the separation of the luminance system into ON and OFF pathways as well as the splitting of the cone-opponent mechanisms into separable color poles.

scholarly journals The representation of colored objects in macaque color patches

2017 ◽  
Author(s):  
Le Chang ◽  
Pinglei Bao ◽  
Doris Y. Tsao
Keyword(s):  
Object Recognition ◽  
Color Vision ◽  
The Other ◽  
Color Patch ◽  
Shape Information ◽  
Object Shape ◽  
Shape Invariant ◽  
High Concentrations ◽  
The Brain

AbstractAn important question about color vision is: how does the brain represent the color of an object? The recent discovery of “color patches” in macaque inferotemporal (IT) cortex, the part of brain responsible for object recognition, makes this problem experimentally tractable. Here we record neurons in three color patches, middle color patch CLC (central lateral color patch), and two anterior color patches ALC (anterior lateral color patch) and AMC (anterior medial color patch), while presenting images of objects systematically varied in hue. We found that all three patches contain high concentrations of hue-selective cells, and the three patches use distinct computational strategies to represent colored objects: while all three patches multiplex hue and shape information, shape-invariant hue information is much stronger in anterior color patches ALC/AMC than CLC; furthermore, hue and object shape specifically for primate faces/bodies are over-represented in AMC but not in the other two patches.

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