Color depends primarily on the reflectance properties of an object. Color image can be modeled as three band monochrome image data, where each band of the data corresponds to a different color. The concept of embedding color image in to the Quick Response code using Genetic Algorithm can reduce the processing time. Halftoning masking techniques are used to take the pixels from the images. After...

Multiple color coordinate systems are usually involved in color image applications or systems. Forward and backward transformations are used to switch between color coordinate systems. The out of gamut problem emerges when the color coordinate systems’ gamut is different. Conventional approaches, including clipping R, G, B values and clipping luminance value are not ideal as they both produce s...

In forensic image processing, it is often important to be able to separate a feature from an interfering background or foreground, or to demonstrate colors within an image to be different from each other. In this study, a color deconvolution algorithm that could accomplish this task is described, and it is applied to color separation problems in document and fingerprint examination. Subtle colo...

This paper addresses the problem of noise attenu-ation for multichannel data, such as color images. The proposed filter utilizes adaptive data dependent non-parametric techniques. Simulation results indicate that the new filter suppresses impulsive as well as Gaussian noise and preserves edges and details.

This paper presents the exploitation of the concept of fuzzy–subsethood for defining a new class of color image processing operations. By considering a color value as a fuzzy set, the calculus of fuzzy-subsethood becomes applicable to color images. From this, a simple color threshold operation can be defined, which gives a grayvalue image from the degrees of subsethood. Also, mathematical morph...

{ The use of mathematical morphology in low and mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in monochrome images. In this paper these techniques are extended to color images. We investigate two approaches for \color morphology": a vector approach, in which color vectors are ranked using a multiv...

In this paper, we present a clustering-based color indexing scheme for effective amd efficient image retrieval, which is essentially an exploration on the application of clustering technique to image retrieval. In our approach, the color features are clustered automatically using a color clustering algorithm twice (called two-level clustering processing) and two color feature summarizations are...

Wavelet analysis based on image enhancement technique is only applicable to black-and-white image, and pseudo-color image processing technology cannot adequately deal with some of the details information of the image. In this paper, an enhanced approach of remote sensing image based on orthogonal wavelet analysis and pseudo-color image processing is presented. Enhanced remote sensing image has ...

The aim of this paper is to define a Clifford Fourier transform that is suitable for color image spectral analysis. There have been many attempts to define such a transformation using quaternions or Clifford algebras. We focus here on a geometric approach using group actions. The idea is to generalize the usual definition based on the characters of abelian groups by considering group morphisms ...

Color image acquisition and image processing have become a key in modern data applications. In order to provide high quality images, the field of accurate acquisition is most important in respect to all further processing steps. This is especially true for color correction and white balancing on color sensors. But a whole variety of current image sensors possess an incorrect color rendition due...