CMYK vs. RGB Color images are printed on paper by separating their colors into four component parts: cyan, magenta, yellow, and black ( CMYK ). Each of the colors in an image is created by assigning a percentage from 0–100 to each of the aforementioned colors (for example, a red color could be created from 0% cyan, 100% yellow, 100% magenta, and 0% black). The color image is then printed on a m...

Capturing natural scenes with high dynamic range content using conventional RGB cameras generally results in saturated and underexposed and therefore compromising image areas. Furthermore the image lacks color accuracy due to a systematic color error of the RGB color filters. The problem of the limited dynamic range of the camera has been addressed by high dynamic range imaging (HDRI): Several ...

In this paper, we propose a system to achieve Augmented Reality (AR) on a smartphone. In this system, we assume a fixed RGB-D camera connected to a server is installed in the environment, and perform AR based on the 3D environment shape got by the RGB-D camera in real-time. On the smartphone side, it sends the image captured by its camera, and receives the output image processed to perform AR b...

The proposed encryption algorithm is composed of two parts, permutation and diffusion. we firstly separate the RGB image into R, G, B components, and Generate three chaotic sequences by chaotic maps to encryption. Then, transform the R, G, B components and the chaotic sequences into DNA code, and get DNA sequences matrix. Secondly, DNA matrices of the RGB image is permutated under the Chen’s hy...

We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and segmentation of RGB images, such as occlusions, fast motion, and objects of similar color. Our proposed real-time mean shift based algorithm outperforms the current state of the art and is significantly better in difficult scenarios.

Many natural objects, and in general layered materials, have non-linear reflection behaviour along the wavelengths. An accurate representation of phenomena such as interference and colour separation generally requires a fine spectral representation of light instead of the commonly used RGB components. In this article, we introduce and experiment with a general approach to create similar and con...

We present a method to calculate sets of RGB primaries that are white-point independent and have suitable gamut properties when evaluated with regards to surface colors. These primaries can be used as a basis for defining an output-referred color encoding intended for print applications. The resulting RGB sensors are sharp, i.e. decorrelated, emphasizing again that for imaging applications, the...

In this work a pixel-level fusion technique for enhancing the visual interpretation of multispectral images is proposed. The technique takes into consideration the inherent high correlation of the RGB bands of natural color images, a fact strictly related to the color perception attributes of the human eye. The method provides dimensionality reduction in the multispectral vector space, while th...

The advent of the Microsoft Kinect three years ago stimulated not only the computer vision community for new algorithms and setups to address well-known problems in the community but also sparked the launch of several new benchmark datasets to which future algorithms can be compared to. This review of the literature and industry developments concludes that the current RGB-D benchmark datasets c...

In this paper we present an overview of colour spaces used in electrical engineering and image processing. We stress the importance of the perceptual, historical and applicational background that led to a colour space. The colour spaces presented are : RGB, opponent-colours spaces, phenomenal colour spaces, CMY, CMYK, TV colour spaces (YUV and YIQ), PhotoYCC, CIE XYZ, Lab and Luv colour spaces....