Color representation is a problem of significant importance in the fields of computer vision and image processing. Traditionally, many computer vision and image processing tasks where developed for gray level images. In recent years, as both the means of obtaining digital color images and the computational power needed to process such images have become more available, these algorithms have bee...

Digital cameras have become popular and many people are choosing to take their pictures with digital cameras instead of film cameras. When a digital image is recorded, the camera needs to perform a significant amount of processing to provide the user a viewable image. This processing includes white balance adjustment, gamma correction, compression and more (reference “Color Image Processing Pip...

Image segmentation is considered the most critical step in image processing and plays a vital role in computer vision especially in the medical field. In this work, the segmentation framework based on the color perception characteristics of eyes for acute lymphoblastic leukemia (ALL) images is proposed to segment each leukemia image into two regions: blasts and background. This work is based on...

The design of a system for multispectral image capture will be influenced by the imaging application, such as image archiving, vision research, illuminant modification or improved (trichromatic) color reproduction. A key aspect of the system performance is the effect of noise, or error, when acquiring multiple color image records and processing of the data. This research provides an analysis th...

The quality of the displayed image during minimal-invasive operations (endoscopy) may be low due to highlights and water vapor in front of the camera lens. In some cases, image processing like temporal color vector median filtering may enhance the visual quality of the images [8]. In this contribution we present a new technique of ordering, filtering and re-ordering of color image pixels that i...

The theoretical outcomes and experimental results of new color model implemented in algorithms and software of image processing are presented in the paper. This model, as it will be shown below, may be used in modern real time video processing applications such as radar tracking and communication systems. The developed model allows carrying out the image process with the least time delays (i.e....

In this paper, we are interested in color image processing, and in particular color image decomposition. The problem of image decomposition consists in splitting an original image f into two components u and v. u should contain the geometric information of the original image, while v should be made of the oscillating patterns of f , such as textures. We propose here a scheme based on a projecte...

Color image quantization has been widely studied for the last fteen years. In this paper we present a method to improve existing algorithms. Used with a uniform partition of the color space this method provides a fast and eecient quantization algorithm. Moreover the method provides an eecient way to control the time/quality ratio.

In this paper, we are interested in color image processing, and in particular color image decomposition. The problem of image decomposition consists in splitting an original image f into two components u and v. u should contain the geometric information of the original image, while v should be made of the oscillating patterns of f , such as textures. We propose here a scheme based on a projecte...

Color which is one of the basic features of the image is widely used in image processing. The choice of color space is a primary issue for the color image segmentation based on color features. In this paper, giant pandas are chosen as the research objects. In order to achieve good segmentation results, different color spaces and the corresponding algorithms are chosen for image segmentation acc...