The colorful representation of orientation preference maps in primary visual cortex has become iconic. However, the standard representation is misleading because it uses a color mapping to indicate orientations based on the HSV (hue, saturation, value) color space, for which important perceptual features such as brightness, and not just hue, vary among orientations. This means that some orienta...

In computer graphics, texture mapping is an important means to enhance the realism of model. Traditional texture image always was captured under special light condition. If the lighting in virtual environment is different from the texture image, the result of rendering will be incorrect and unrealistic. This paper proposes an image-based method to fit the reflection mode by a quadratic multinom...

As the application of AMOLED becomes more and popular, technologies are needed to implement color management gamut mapping. The paper proposes a mapping method adjust temperature. We add additional white achieve control temperature when implementing tuning flow. original is also separated into RGW/RWB/WGB perform multiply 3x3 matrix iterate its XYZ calculation respectively. In experiment result...

MOTIVATION Deep sequencing provides inexpensive opportunities to characterize the transcriptional diversity of known genomes. The AB SOLiD technology generates millions of short sequencing reads in color-space; that is, the raw data is a sequence of colors, where each color represents 2 nt and each nucleotide is represented by two consecutive colors. This strategy is purported to have several a...

In this paper, a perceptual color difference is presented as an alternative color difference metric for complex images instead of the conventional color difference equations. This color difference is derived based on Mahalanobis distance by using covariance matrices for differences of each color attributes. The covariance matrices for each class of images can be obtained by psychophysical exper...

In this paper, we use Riemann geometry to develop a general framework for the characterization of and mapping between color spaces. Within this framework we show how to construct maps, so-called isometries, between two color spaces that preserve color differences. We illustrate applications of this framework by constructing a uniform color space and developing algorithms for color reproduction ...

A wide variety of color schemes have been devised for mapping scalar data to color. We address the challenge of color-mapping multivariate data. While a number of methods can map low-dimensional data to color, for example, using bilinear or barycentric interpolation for two or three variables, these methods do not scale to higher data dimensions. Likewise, schemes that take a more artistic appr...

In the reversible conversion of color images to gray ones, colors are mapped to textures and from the textures the receiver can recover the colors, i.e. one may print a color image with a black and white printer and, at a later time, recover colors. Such a method was originally devised using the wavelet transform and replacing high-frequency subbands by subsampled chrominance planes. Here, we p...

This paper describes a simple research and pedagogical tool for thinking about color gamut compromises. The idea is to fabricate Mondrian-like images that have patches of different colors with intermediate spatial complexity between single stimuli and real complex images. These Gamut Mondrians can be used to illustrate the observations found in the literature and to act as a simple experimental...

Much research on color representation and categorization has assumed that relations among color terms can be proxies for relations among color percepts. We test this assumption by comparing the mapping of color words with color appearances among different observer groups performing cognitive tasks: (1) an invariance of naming task; and (2) triad similarity judgments of color term and color appe...