Most of the color image processing algorithms do not consider the non-linearity of human vision, and the limitations of the human vision likecapability to discriminate between two similar colors and maximum number of colors human vision can respond to. In this paper, the nonlinearity and physiological limitations of human vision have been used for sampling the RGB color space. The large redunda...

The Beltrami geometrical framework for scale-space flows is generalized to nontrivial color space geometries and implemented in analysis and processing of color images. We demonstrate how various models of color perception, interpreted as geometries of the color space, result in different enhanced processing schemes.

Target detection via digital image processing is crucial to biomedical diagnosis and homeland security. Both image contrast enhancement and image segmentation are among the most practical approaches of image processing. Under conditions of improper illumination and unpleasant disturbances, adaptive image enhancement can be conducted, which adapts to the intensity distribution within an image. I...

The paper suggests about with using of real time color segmentation, filtration and feature selection process to draw the patterns with major use of image processing i.e., Drawing the different shapes using the double tap of fingers, open the hand and change the color of given shape.so basically Vision-based human–computer connection could be achieved by determining separated primary color area...

In this paper, we propose a colour image processing method by combining modern signal processing technique with knowledge about the properties of the human colour vision system. Colour signals are processed differently according to their visual importance. The emphasis of the technique is on the preservation of total visual quality of the image and simultaneously taking into account computation...

Color quantization is an important part of image processing, image formation, and related research. This paper presents a novel color image quantization algorithm which addresses the question of how to incorporate principles of human perception of color variation into the process of quantization. The color variation measure, calculated first in CIE Lab color space, is used to evaluate color var...

In this paper, we propose an image processing method for color images to reversibly achieve flexible functions. Most previous research has focused on reversible contrast enhancement (CE) grayscale images. When directly apply these methods images, hue distortion is caused. Several have been proposed These methods, however, only a CE function. We previously that enhances the brightness and improv...

Noise removal or noise suppression is an important task in image processing. In general, the results of the noise removal have a strong influence on the quality of the following image processing techniques. Several techniques for noise removal are well established in gray value image processing. However, it is not easy to adapt these techniques to color image processing. The median filter is of...