I motivate and defend a previously underdeveloped functionalist account of the metaphysics color, view that call ‘quality-space functionalism’ about color. Although other theorists have proposed varieties color functionalism, this differs from such accounts insofar as it identifies individuates colors by their relative locations within particular kind so-called ‘quality space’ reflects creature...

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

Deep networks have become very popular over the past few years. The main reason for this widespread use is their excellent ability to learn and predict knowledge in a very easy and efficient way. Convolutional neural networks and auto-­‐encoders have become the normal in the area of imaging and computer vision achieving unprecedented BLOCKIN BLOCKIN accuracy BLOCKIN BLOCKIN levels BLOCKIN BLOCK...

Putting aside metaphorical meanings of the term, color space is understood as a vector space, where lights having the same color (i.e., subjectively indistinguishable) are represented as a point. The CIE 1931 color space, empirically based on trichromatic color measurements, is a classical example. Its derivatives, such as CIELAB and sRGB, have been successfully used in many applications (e.g.,...

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...