Perceived Color Differences Research Articles

“Will artificial intelligence platforms replace designers in the future?” analyzing the impact of artificial intelligence platforms on the engineering design industry through color perception

This research investigates the impact of artificial intelligence platforms on the engineering design industry by analyzing the perceptions of color and views on artificial intelligence development among designers and non-designers. The study utilized a two-stage approach: the first involved artificial intelligence-assisted design tasks and focus group discussions with 24 participants, capturing both visual and textual data. K-means color clustering and thematic analysis were applied to images and texts. The second stage involved surveying 222 individuals and conducting a chi-square test to analyze the frequency of different color dimensions used by the two groups. The results demonstrate that differences in color perception influenced design decision-making outcomes. There was widespread acknowledgment across all groups of the efficiency and inspirational potential of artificial intelligence platforms. However, variations in design education resulted in differing opinions on the replaceability of designers. Future trajectories for artificial intelligence platforms are likely to focus on specialization while addressing challenges such as echo chamber effects, copyright disputes, and the prevention of private information leakage.

Increasing magnitude of color differences amplifies category effects

Previous studies have identified differences in sensitivity characteristics between color discrimination and perception of suprathreshold color differences. However, it remains highly unclear how color difference sensitivity changes with increasing magnitudes of color difference along various color hues. This study aimed to quantify the sensitivity transition across various magnitudes of color differences and uncover the underlying mechanisms. Color discrimination sensitivities were measured using an adaptive staircase method for 32 isoluminant pedestal colors in the u'v' chromaticity diagram. For suprathreshold color differences, we employed the Maximum Likelihood Difference Scaling (MLDS) method to measure sensitivity to various color difference levels for the same 32 colors. Our findings confirmed the differences in sensitivity characteristics between discrimination and suprathreshold color difference perception. Furthermore, we observed increased sensitivities at many color category boundaries in suprathreshold color difference perception. By investigating the relation between the category effects and the color difference size levels through a model simulation, our findings suggest that the influence of color categories on the perception of color differences may become more pronounced as the magnitude of color differences increases.

Poster Session II: Spillover effects of color discrimination training on color category boundaries and color appearance.

Perceptual learning refers to the increase in perceptual sensitivity that results from several days of training on a perceptual task. Although perceptual learning has been shown to be effective in a variety of perceptual tasks, few studies have examined perceptual learning in color perception. In this study, we investigated how color discrimination training at a base color affected various aspects of color perception for entire hues. The training consisted of five days of S color discrimination (300 trials/day) at either the negative or positive L-M base color, depending on the observer groups. Before and after the training, three types of color perception tests (color difference, unique hue, and color category boundary) were conducted for colors with various hues to examine the changes in color perception due to the training. The results showed that the color discrimination thresholds in the training decreased as expected with repeated trials. Interestingly, the training also affected the performance of the three types of tests; the perceived color difference around the training color tended to increase, and some of the unique hues and the color category boundaries shifted significantly toward the training color. These results suggest that only a few days of color discrimination training can spill over to the entire color space and induce distortion of the perceptual color space.

The Perceptibility of Color Differences in Continuous Transitions

The Perceptibility of Color Differences in Continuous Transitions

Effect of primary peak wavelength and stimulus size on metameric failure through color difference evaluations

AbstractTristimulus values and chromaticities, which are derived using the color matching functions (CMFs), are commonly used for color characterization, calibration, and specifications, with the stimuli having the same values believed to have the same color appearance (i.e., metameric match). Many studies, however, found that the stimuli having the same tristimulus values do not appear the same (known as metameric failure) due to the failure of CMFs in accurately characterizing the color matching mechanisms. Most past work investigated the performance of different CMFs through color matching experiments, with a smaller chromaticity or calculated color difference between the reference and test stimuli suggesting a better performance. Such differences, however, may not accurately characterize the performance of the CMFs, since the color spaces or chromaticity diagrams may not be uniform, in terms of the threshold of noticeable color difference. In this study, the human observers evaluated the perceived color difference between pairs of stimuli, which were calibrated to have the same tristimulus values calculated using the CIE 1931 2° CMFs, with two sizes of field of view (FOV). The results clearly suggested that the stimuli having the same tristimulus values may not always appear the same, which depended on the primaries and the FOV. More importantly, the results clearly suggested that the chromaticity differences from color matching experiments may overestimate the metameric failure, especially when the color differences were small.

ВИКОРИСТАННЯ КОЛЬОРУ В РЕКЛАМІ: ПСИХОЛОГІЧНІ АСПЕКТИ ВПЛИВУ НА СПОЖИВАЧІВ

Studying the psychological aspects of the influence of color on consumers is extremely important in the field of marketing, advertising, design and many other fields. Colors can evoke different emotions, associations and reactions in consumers, and knowing these psychological influences allows you to create more effective and successful strategies to attract customers’ attention. The research focuses on studying the psychological aspects of the influence of color in advertising on consumers in order to determine the optimal strategies for using colors to increase the advertising campaigns effectiveness and achieve the desired response of consumers. The important role of visual perception in business and its impact on potential buyers is considered. The visual perception of a product is one of the strongest and most influential feelings for consumers. Visual elements such as branding, logos, packaging design, promotional materials, web design, video advertising and point of sale are used by producers and marketers to achieve various business goals. Psychological aspects of color perception, their influence on emotions and associations, and practical aspects of use in an advertising context are analyzed. It has been found that each color carries a unique emotional meaning, and the right choice of colors helps to create a positive perception of the advertising message. Aspects of attracting attention and interest of consumers, forming associations and product attributes with the help of color, as well as the influence of color on brand recognition are also considered. The importance of taking into account individual, cultural and contextual differences in color perception is emphasized. Choosing the wrong color combinations can negatively affect the perception of an advertising message. The context in which colors are used can also change their perception and effectiveness, as colors can have different associations in different cultures. Research has shown that color schemes can influence consumers’ purchasing decisions, so getting the color right can be strategically important to advertising success. Research is essential to the development of the psychology of marketing and advertising, allowing to attract and maintain a positive brand image, satisfy the needs of consumers and achieve success in the market.

Color difference evaluations on metameric color stimuli by observers of three age groups.

Color matching functions (CMFs), which are used to derive tristimulus values and chromaticities, play a very important role in color characterization, calibration, and specifications. Great efforts have been made to investigate how CMFs can characterize the color matches and mismatches between stimuli with different spectral compositions under different sizes of field of view (FOV). Few study specifically investigated how to better characterize the CMFs for different observer ages. In this study, we carefully designed a series of color stimuli using different CMFs based on our two past studies, and asked 51 young, middle-aged, and senior observers to evaluate the color differences. The three sets of CIE 2006 CMFs (i.e., 10°, 4°, and 2°) with an age of 20-, 40-, and 70-year were found to characterize the perceived color differences for the young, middle-aged, and senior observers. In addition, it was found that the characterization of a group of observers can also be performed using these three sets of CMFs based on the distributions of the observers, which had a better correlation to the perceived color differences than the individual colorimetric model.

The idiosyncratic nature of how individuals perceive, represent, and remember their surroundings and its impact on learning-based generalization.

The current study adopted a multimodal assessment approach to map the idiosyncratic nature of how individuals perceive, represent, and remember their surroundings and to investigate its impact on learning-based generalization. During an online differential conditioning paradigm, participants (n = 105) learned the pairing between a blue color patch (CS +) and an outcome (i.e., shock symbol) and the unpairing between a green color patch and the same outcome. After the learning task, the generalization of outcome expectancies was assessed to 14 stimuli spanning the entire blue-green color spectrum. Hereafter, a stimulus identification task assessed the ability to correctly identify the CS + among this stimulus range. Continuous and binary color category membership judgments of the stimuli were assessed preconditioning. We found that a response model with color perception and identification performance as sole predictors was preferred to contemporary approaches that use stimulus as a predictor. Interestingly, incorporating interindividual differences in color perception, CS identification, and color categories significantly improved the models' ability to account for different generalization patterns. Our findings suggest that insight into the idiosyncratic nature of how individuals perceive, represent, and remember their surroundings provides exciting opportunities to understand post-learning behaviors better. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Measuring Perceptual Color Differences of Smartphone Photographs

Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography. Despite the long history, most CD measures have been constrained by psychophysical data of homogeneous color patches or a limited number of simplistic natural photographic images. It is thus questionable whether existing CD measures generalize in the age of smartphone photography characterized by greater content complexities and learning-based image signal processors. In this paper, we put together so far the largest image dataset for perceptual CD assessment, in which the photographic images are 1) captured by six flagship smartphones, 2) altered by Photoshop®, 3) post-processed by built-in filters of the smartphones, and 4) reproduced with incorrect color profiles. We then conduct a large-scale psychophysical experiment to gather perceptual CDs of 30,000 image pairs in a carefully controlled laboratory environment. Based on the newly established dataset, we make one of the first attempts to construct an end-to-end learnable CD formula based on a lightweight neural network, as a generalization of several previous metrics. Extensive experiments demonstrate that the optimized formula outperforms 33 existing CD measures by a large margin, offers reasonable local CD maps without the use of dense supervision, generalizes well to homogeneous color patch data, and empirically behaves as a proper metric in the mathematical sense. Our dataset and code are publicly available at https://github.com/hellooks/CDNet.

Decision rules for egg-color-based rejection by two cavity-nesting hosts of the brown-headed cowbird.

Hosts of obligate avian brood parasites often evolve defense mechanisms to avoid rearing unrelated young. One common defense is egg rejection, for which hosts often rely on eggshell color. Most research has assumed that hosts respond to perceived color differences between their own eggs and parasite eggs regardless of the particular color; however, recent experiments have found that many hosts respond more strongly to brown foreign eggs than to equally dissimilar blue eggs. Yet, none of these prior studies tested a brown-egg-laying species and, with only one exception, all were conducted in open nests where light levels are considered sufficient for effective color-based egg discrimination. Here, we explored how two cavity-nesting hosts of the parasitic brown-headed cowbird (Molothrus ater) - the blue-egg-laying eastern bluebird (Sialia sialis) and the brown-egg-laying house wren (Troglodytes aedon) - respond to experimental eggs painted six distinct colors ranging from blue to brown. Rejection responses of both hosts were best predicted by perceived differences in color between the model egg and their own eggs. Specifically, we found that house wrens preferentially rejected eggs bluer than their own eggs. However, although we found that bluebirds relied on perceived differences in color for their egg rejection decisions, further tests are needed to determine whether they preferentially rejected brown eggs or simply responded to absolute perceived differences in color. These findings demonstrate that these cavity-nesting birds treat perceived color differences in distinct ways, which has important implications on the coevolutionary arms races and the interpretation of avian-perceived color differences.

An Approach for Predicting the Apparent Color of Carpets under Different Illuminants

The color appearance of residential carpets under different illuminants can influence the purchase decisions of consumers, visual merchandisers, and interior designers. This study was designed to investigate and characterize the color appearance of residential carpets under average Noon Daylight (D65), Incandescent (A), and Cool White Fluorescent (F02) illuminants commonly used in retail and household settings. The objective of this study was to identify the key features significantly affecting the apparent color of the carpets under those three illuminants. Four different carpets were dyed with light, medium, and dark shades of red and green colors to identify the difference in color perception when illuminated by different lighting arrangements. A spectrophotometer was used to measure the lightness, chroma, and hue of the carpets via the CIELAB scale developed by Commission Internationale de l’Eclairage (CIE). Statistically significant differences among the L*, a*, and b* values of the carpets were evaluated using Analysis of Variance (ANOVA). Regression analyses were carried out to identify key parameters affecting the L*, a* and b* values. Multiple linear regression (MLR) was applied to generate equations to predict L*, a* and b* values under different illuminant for different carpet features. A decreasing trend in the L*, a*, and b* values have been observed from lighter to darker shades under the illuminants for all the carpets. The deposition of dye molecules over the carpet surface had significant effects on the CIELAB values, and the distribution of dye molecules over the carpet surface was influenced by the constructional parameters of the carpets. The study provides an overview of the effects of carpet structures on color perception under different illuminants, which could help the researcher to determine the apparent color of different carpets under various illuminants.

Effective burn‐in reduction of organic light‐emitting diode display using perceptual color difference between logo and background

AbstractThe paper proposes a method to delay the burn‐in effect of an organic light‐emitting diode (OLED) display. Usually, the burn‐in occurs in broadcasting company logo regions. In previous studies, logos were compensated by reducing the logo luminance by a specific ratio. This paper proposes a novel logo‐compensation method regarding the perceptual color difference between a logo and background areas. The proposed method has the advantage of being less affected by changes in the surrounding area than the existing compensation method, minimizing the deterioration of the recognition of the logo, and delaying the burn‐in as much as possible.

The Perceptibility of Color Differences between Thin Lines and its Application to Printing Imaging Pipelines

Imaging is enabled by the limitations of the human visual system, which is blind to certain physical differences. The trichromacy of human vision, e.g., allows for very different materials to be combined in a way that results in the same signals triggered by the eye’s cones. As a result a print can elicit the same response as a display, or a projection can yield colors like those in a painting. The limits of spatial acuity too allow for discrete patterns, e.g., those resulting from halftoning, to appear continuous. This paper turns its attention to the limits of color difference perception in stimuli with a very small subtense, such as thin lines or fine features of 3D objects. A first set of psychophysical data, obtained in an on-line visual experiment, indicates a dramatic relaxation of perceptibility thresholds when comparing very thin with thicker lines. The second half of the paper then presents printer imaging pipeline strategies that take advantage of these experimental findings to successfully render fine lines while taking advantage of the more limited sensitivity with which their specific colors are perceived.

Testing the Performance of Color Difference Formula for a Mixed Display Technology Setup

Automotive cockpits are becoming more and more digital day by day and this is evident by the increase in the number of displays inside the cockpit. With the advent of OLED displays, automotive cockpits not only have LCD but have started having mixed display technologies. A recent example of such a cockpit display is the MBUX Hyperscreen in Mercedes EQS. A general situation is most mid ranged cars from Renault includes several displays inside the cockpit. These displays are placed at different locations inside the cockpit and go through various changes in external environmental condition during day and night. A vehicle cockpit experiences a wide range of illumination change during the day, from 35 kLux in bright sunlight to a few Lux during the night. The displays are generally used in high luminance range during the day and very low luminance during the night. Traditional color difference formulae like the CIEDE76 or CIEDE2000, the latter being the current industry standard, are defined for a specific set of evaluation conditions. For the myriad of different conditions that the displays undergo inside the cockpit, there isn’t a recommended color difference formula which can be used to quantify the color difference between any two chosen displays inside the cockpit. An attempt has been made to include various real time parameters involving color difference evaluation between two displays, one of which is an LCD and other OLED. The motive of this study is to find out which color difference formula is the most representative of the perceived color difference between two mixed technology displays for a group of observers. The metric used for this the study is the CIE recommended STRESS index. The outcome of this research is to serve as a reference regarding the choice of color difference metric by display manufactures and OEM suppliers.

Do You See What I See? Diversity in Human Color Perception.

In our tendency to discuss the objective properties of the external world, we may fail to notice that our subjective perceptions of those properties differ between individuals. Variability at all levels of the color vision system creates diversity in color perception, from discrimination to color matching, appearance, and subjective experience, such that each of us lives in a unique perceptual world. In this review, I discuss what is known about individual differences in color perception and its determinants, particularly considering genetically mediated variability in cone photopigments and the paradoxical effects of visual environments in both contributing to and counteracting individual differences. I make the case that, as well as being of interest in their own right and crucial for a complete account of color vision, individual differences can be used as a methodological tool in color science for the insights that they offer about the underlying mechanisms of perception.

Effect of observer age and stimulus size on the performance of CIE color matching functions.

Both observer age and size of stimulus as characterized using the field of view (FOV) are two important parameters to affect the color matching functions (CMFs) of human observers. They are also included in the cone fundamental and CMFs models that were recently proposed by the International Commission on Illumination (CIE) in 2006. In contrast to the great number of studies investigating the performance of CMFs in characterizing color matches and mismatches using different primary sets, few study investigated the effect of CMFs in characterizing these two factors. In this study, we carefully designed a series of test stimuli in five colors, which had different magnitudes of calculated color difference to the corresponding reference stimulus using the CIE 2006 CMFs model. The stimuli were presented in two FOVs (i.e., 8.6° and 2.9°). A group of young and senior observers were asked to judge which of the two test stimuli appeared to be similar to the reference stimulus, which was a forced choice. The color differences calculated using the CIE 1931 2° and 1964 10° CMFs were found to have higher correlations to the visual color differences judged by the senior and young observers respectively, regardless of the actual FOVs used in the experiment. In addition, though the CIE 2006 CMFs with the different parameter settings always had better performance in predicting the perceived color differences, they failed to characterize the effect of observer age and stimulus size. Also, the experiment results did not support the CIE's recommendation of using the 10° CMFs for stimuli with an FOV greater than 4° and the 2° CMFs for those smaller than 4°.

The non-Riemannian nature of perceptual color space

The scientific community generally agrees on the theory, introduced by Riemann and furthered by Helmholtz and Schrödinger, that perceived color space is not Euclidean but rather, a three-dimensional Riemannian space. We show that the principle of diminishing returns applies to human color perception. This means that large color differences cannot be derived by adding a series of small steps, and therefore, perceptual color space cannot be described by a Riemannian geometry. This finding is inconsistent with the current approaches to modeling perceptual color space. Therefore, the assumed shape of color space requires a paradigm shift. Consequences of this apply to color metrics that are currently used in image and video processing, color mapping, and the paint and textile industries. These metrics are valid only for small differences. Rethinking them outside of a Riemannian setting could provide a path to extending them to large differences. This finding further hints at the existence of a second-order Weber–Fechner law describing perceived differences.

Influences of shape, size, and gloss on the perceived color difference of 3D printed objects.

In order to study the influence and mechanisms of color differences using 3D-shaped objects, 440 pairs of 3D samples surrounding five CIE color centers (gray, red, yellow, green, and blue) with the variations of gloss, size, and shape were prepared by a Sailner 3D color printer, and their color differences were assessed by 26∼45 observers using the gray-scale method. The new color difference data were used to investigate the parametric effects (gloss, 3D shape, and size) on the perceived color difference. Results indicate that, for 3D objects, high gloss and small size objects (2 cm) raise smaller visual color differences than matte and large size objects (4 cm), and the visual color difference of spheres is larger than that of the cone and cylinder sample pairs. The chromaticity ellipses indicated that the glossy samples with different shapes will arouse fairly different visual perceptions, especially for sphere and cylinder samples.

EEG Signal Processing for Detection of Colour Vision Deficiencies

The clinical assessment methods of detection of colour blindness are prone to subjective bias, human errors, and lack of consistency. Also, heterogeneous nature of vision deficiencies makes manual detection difficult. Hence, objective methods based on physiological signals can be used. Various studies have been undertaken to analyze the effect that colour perceived has on EEG signals and as a result can be extended to detection of colour blindness. The results of this survey indicate that there are significant differences produced in EEG signals due to changes in colour, as well as due to differences in colour perception. EEG signals also differ between healthy and colour vision deficient individuals, thereby providing a biomarker for detection. This biomarker can be exploited using machine learning algorithms for detection of colour-related vision deficiencies.

Human perception of color differences using computer vision system measurements of raw pork loin

In the food industry, product color plays an important role in influencing consumer choices. Yet, there remains little research on the human ability to perceive differences in product color; therefore, preference testing is subjective rather than based on quantitative colors. Using a de-centralized computer-aided systematic discrimination testing method, we ascertain consumers' ability to discern between systematically varied colors. As a case study, the colors represent the color variability of fresh pork as measured by a computer vision system. Our results indicate that a total color difference (ΔE) of approximately 1 is discriminable by consumers. Furthermore, we ascertain that a change in color along the b*-axis (yellowness) in CIELAB color space is most discernable, followed by the a*-axis (redness) and then the L*-axis (lightness). As developed, our web-based discrimination testing approach allows for large scale evaluation of human color perception, while these quantitative findings on meat color discrimination are of value for future research on consumer preferences of meat color and beyond.