A single sensor color imaging device has a color filter array (CFA) laid on top of its photodiodes, which spatially samples bandpassed spectral responses. Hence, with the popular Bayer pattern, at every pixel site either red, green or blue light is measured. A process known as demosaicing interpolates the vector-valued color image from the scalar-valued sensor output, termed here as the Bayer i...

S. H. Kwok The Hong Kong University of Science and Technology Department of Information and Systems Management Clear Water Bay, Kowloon, Hong Kong Abstract. Out-of-gamut problems exist in color image processing and color reproduction in different devices. Extensive research has been done on transforming out-of-gamut colors to the inside of the output device’s color gamut for color reproduction....

Image processing is an engineering field where stored image data is readily available for parallel processing. Basically data processing algorithms developed in sequential approach are not capable of harnessing the computing power of individual cores present in a single-chip multicore processor. To utilize the multicore processor efficiently on windows platform for color image processing applic...

This paper presents a novel application of compositional data analysis methods in the context of color image processing. A vector decomposition method is proposed to reveal compositional components of any vector with positive components followed by compositional data analysis to demonstrate the relation between color space concepts such as hue and saturation to their compositional counterparts....

This paper proposes a gamut mapping algorithm based on color space division for color reproduction of cross media. As each color device has a limited range of producible colors, the reproduced colors on a destination device are different from those of the original device. In order to reduce the color difference between those devices, the proposed method divides the whole gamut into parabolic sh...

In the last decade, we have seen a tremendous growth in color and color-based applications within the signal, image and video processing communities. Color is no longer interpreted as an extension of gray scale and is now considered as a key element for a number of image and video processing systems. In particular, color space transforms have played a central role in coding, compression and tra...

This paper presents a flower classification and identification system that takes a flower image as input and identifies it to be belonging to a particular category present in the database. It begins by performing pre-processing operations on the input image. A set of digital images are segmented using k-means clustering algorithm from which texture and color features are extracted. Texture feat...

In acquiring digital images, electronic systems not only detect optical signals but also convert them into a digital form for further image processing and exchange. Practical systems can introduce error during color calibration, and when acquiring image scene information. For large populations it is often assumed that the error can be modeled as a random variable having a zero mean. In the case...

The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...

In this paper, we propose a mathematical model for color image processing. It is a logarithmical one. We consider the cube (-1,1) 3 as the set of values for the color space. We define two operations: addition + and real scalar multiplication . With these operations the space of colors becomes a real vector space. Then, defining the scalar product (.|.) and the norm || . ||, we obtain a (lo...