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Colour remains one of the key factors in presenting an object and, consequently, has been widely applied in retrieval of images based on their visual contents. However, a colour appearance changes with the change of viewing surroundings, the phenomenon that has not been paid attention yet while performing colour-based image retrieval. To comprehend this effect, in this article, a chromatic contrast model, CAMcc, is developed for the application of retrieval of colour intensive images, cementing the gap that most of existing colour models lack to fill by taking simultaneous colour contrast into account. Subsequently, the model is applied to the retrieval task on a collection of museum wallpapers of colour-rich images. In comparison with current popular colour models including CIECAM02, HSI and RGB, with respect to both foreground and background colours, CAMcc appears to outperform the others with retrieved results being closer to query images. In addition, CAMcc focuses more on foreground colours, especially by maintaining the balance between both foreground and background colours, while the rest of existing models take on dominant colours that are perceived the most, usually background tones. Significantly, the contribution of the investigation lies in not only the improvement of the accuracy of colour-based image retrieval but also the development of colour contrast model that warrants an important place in colour and computer vision theory, leading to deciphering the insight of this age-old topic of chromatic contrast in colour science. © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 361-373, 2015 [ABSTRACT FROM AUTHOR]

According to Berlin and Kay, there is a set of 11 universal basic color terms: White, Black, Red, Green, Yellow, Blue, Brown, Purple, Pink, Orange, and Gray. To approve this, a world survey (WCS) was begun to gather data on color categorization through the world, although, despite many languages, Persian language has not been studied so far. We report a study of color naming in Iran. A study was carried out in six major cities including: Tehran, Isfahan, Mashhad, Yazd, Rasht, and Shiraz to investigate the color naming for Persian language and also the effect of local culture. The main purpose of this study was to describe the basic color terms of Persian language and to verify Berlin and Kay's theory. In total, 200 subjects were studied from all the six cities. Our results showed that there were the same basic color terms (as Berlin and Kay's theory) in Persian language overall including:' (White) ',' (Black) ', ' (Red) ', ' (Green) ', ' (Yellow) ', ' (Blue) ', ' (Brown) ', ' (Purple) ', ' (Pink) ', ' (Orange), ' and ' (Gray) '. However, this was not valid for all the cities when they were investigated individually. There were 10 basic terms in Mashhad and Shiraz while the other cities had 11 basic terms. Also, the set of the used terms would differ by the city. © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 352-360, 2015 [ABSTRACT FROM AUTHOR]

In this research, we identify and investigate some of the factors influencing residential color preference. We have taken social environment as a primary focus and the influence of a person's residential, regional, educational, and personal background have been examined. A questionnaire, two drawings (one of a bedroom and another of the exterior of a few houses) and 24 color pencils were prepared. In total, 319 data were gathered from Japanese students living in Japan, Foreign students living in Japan, and Iranian students living in Iran, with 301 applicable data. One of the questions was the respondent's favorite color. The results showed that more than 96.7% have used their favorite colors in the drawings. Blue hues were used most by people living in coastal areas (P < 0.05). Education had a strong correlation with number of color varieties (P < 0.01). Moreover, students who had parents with art backgrounds had used more colors in the drawings rather than the ones with parents with no art background (P < 0.05). Foreigners and Iranians have used more color varieties compared to Japanese (P < 0.05). Ultimately, it was observed that among the case studies (regional, residential, and educational), education had a strong positive correlation with number of color varieties (P < 0.01). © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 416-424, 2015 [ABSTRACT FROM AUTHOR]

A simple correspondence between S-cone response and the sensation of blueness has long been questioned. We measured color appearance using a series of S-cone isolating stimuli and a paired comparison paradigm to identify a direct correspondence between S-cone response and perceived hue strength. The results revealed a non-monotonic reversal in perceived blueness at the unique-blue line: The S-cone increment initially increased blueness, but as S-cone excitation grew past the pure-blue line, blueness decreased and redness increased. It is difficult to account for this pattern of results by supposing that the sensation of blueness is mediated by a conventional linear channel that extracts (S+M)/L: If the ratio L:M is held constant, the output of such a channel should always increase with increasing S, and so inhibition from a second channel would be needed to account for our result. We also consider another category of explanation: The appearance of a given chromaticity may depend on its position relative to the fundamental axis of daylight locus, which serves as an internalized reference. In an account of the latter kind, there is a systematic mapping between chromaticities and sensations, but there does not need to be a distinct neural signal that represents 'blueness.' © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 323-328, 2015 [ABSTRACT FROM AUTHOR]

In the recent years, great importance has been shown toward the cultural creativity in Taiwan. Cultural identification and determining how best to apply it to commercial products require investigating and compiling a vast amount of cultural information, along with the individual ideas of designers, to develop new cultural products. During the product development and design process, the color scheme is the final and most important element. It not only represents the first image of the product but also elicits the important first-sight impression of consumers. Consequently, color ranks first in cultural commodity development. By understanding the Taiwanese culture, as well as assessing, verifying, and internalizing it into the materials that can be used by the designers, this study uses an artificial neural network system and simplifies the collected pictures that are representative of the Taiwanese culture into groups of different matching colors to assist designers in developing cultural commodities with different features and according to different cultural styles. © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 341-351, 2015 [ABSTRACT FROM AUTHOR]

For a digital color camera to represent the colors in the environment accurately, it is necessary to calibrate the camera RGB outputs in terms of a colorimetric space such as the CIEXYZ or sRGB. Assuming that the camera response is a linear function of scene luminance, the main step in the calibration is to determine a transformation matrix M mapping data from linear camera RGB to XYZ. Determining M is usually done by photographing a calibrated target, often a color checker, and then performing a least-squares regression on the difference between the camera's RGB digital counts from each color checker patch and their corresponding true XYZ values. To measure accurately the XYZ coordinates for each patch, either a completely uniform lighting field is required, which can be hard to accomplish, or a measurement of the illuminant irradiance at each patch is needed. In this article, two computational methods are presented for camera color calibration that require only that the relative spectral power distribution of the illumination be constant across the color checker, while its irradiance may vary, and yet resolve for a color correction matrix that remains unaffected by any irradiance variation that may be present. © 2013 Wiley Periodicals, Inc. Col Res Appl, 39, 540-548, 2014 [ABSTRACT FROM AUTHOR]