A wide variety of color schemes have been devised for mapping scalar data to color. Some use the data value to index a color scale. Others assign colors to different, usually blended disjoint materials, to handle areas where materials overlap. A number of methods can map low-dimensional data to color, however, these methods do not scale to higher dimensional data. Likewise, schemes that take a ...

Color image segmentation is an important but still open problem in image processing. In this paper, we propose a method for this problem by integrating the spatial connectivity and color feature of the pixels. Considering that an image can be regarded as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels in...

In this paper we proposed a new method, in order to extract the shadow area, using the homomorphic system for more emphasizing on illumination and reflection components separately. Also we use Value component of HSV color space as darkness/lightness of a color, which tends to work better for any images. Furthermore, the presented experimental results which are obtained for shadow identification...

A common approach for color image processing is to rst transform the RGB image to a new color space (such as LHS and YIQ), do the processing, and then transform back to RGB space. In many applications, only the luminance component is processed, and the hue and saturation are preserved. However, when the processed values in the new color system are transformed back to RGB, the transformed values...

The concept of color temperature is derived from an innate characteristics of the human visual system. It is formulated as a visual feature referring to a kind of perceptual feeling about perceived light. Color temperature has also a physical-based definition, and hence, color temperature of observed scenes and visual objects can be modelled in a mathematical way as a one-parameter characterist...

To suitably complete an image without seams, block effects, and artifacts, a novel exemplar-based image completion model employing partial differential equation (PDE) is proposed. Firstly, the novel model determines the processing order of exemplar according to a composite function, which is the product of the colour property and structure property in exemplar. Then the exemplar along a geometr...

“Color space” refers to a specific system of coordinates that allows us to describe a particular color of light. In this article we discuss the concept of the color of light and the concept of a “color model”—which if precisely specified is today most often described as a “color space”. We then describe in some detail a number of specific color spaces used in a wide range of fields. TABLE OF CO...

A space X is a D-space if whenever one is given a neighborhood N(x) of x for each x ∈ X, then there is a closed discrete subset D of X such that {N(x) : x ∈ D} covers X. It is a decades-old open question whether some of the standard covering properties, such as Lindelöf or paracompact, imply D . This remains unsettled, yet there has been a considerable amount of interesting recent work on D-spa...

Color space transformation is the process of converting color from one space to the other type of color space, which plays a very important role in image acquisition, display and color information transfer. Though CMYK space is applied to express color when using printer or phototypesetter, editing correction in CMYK color space may cause color loss and lower the speed of computer operation. Th...