Due to the increasing popularity and affordability of color imaging devices, color characterization for these devices becomes an important subject. In other words, a set of color profile(s) needs to be generated for each device to transform the device dependent color space to a device independent one. This paper will concentrate on color characterization of scanners. Up to now, most scanner cha...

Color plays an important role in human visual attention. Therefore, high color contrasts are often used for warning or information purposes (e.g. traffic signs, warning signs in industrial areas). In this work the color contrasts are evaluated in a perceptually uniform color space to achieve a human-like color classification. The results of the color analysis are organized in several feature ma...

Most of the content-based image retrieval systems focus on similarity-based retrieval of images by utilizing color, shape and texture features. For color-based image retrieval, the average color or color-histograms of images are widely used as feature vectors. In this paper, we propose a new searching scheme, called Fuzzy Membership Value-Indexing, to guarantee higher retrieval quality. This sc...

Research in batik image retrieval is still challenging today. In this paper, we present an efficient system for batik image retrieval that combine color and texture features. The proposed approach is based on color auto-correlogram method as color feature extraction method and Gray Level Co-occurrence Matrix (GLCM) method as texture feature extraction method. Firstly, HSV (Hue Saturation Value)...

Edge detection has been a popular practice in image processing and computer vision applications. Many image processing applications require the discovery of edge details in the gray or color images as a beginning stage of an image processing, vision and understanding. Generally, edge detection on grayscale images is not affluent enough to explain intensity changes. Therefore, we can use color e...

In this paper, a new light-value approaching method to enhance a color image by excluding the effect of incident illumination is proposed. The method uses the highlightpreserving vector transformation, in which an estimated color of illumination is transformed to the white color of natural daylight while preserving the highlight. In the method, initial transformation matrix using simple vector ...

Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining the three color component images. In this work, we consider grayscale image as well as color s...

Color correction describes the transformation process between device RGB values and CIEXYZ or CIELAB values. This mapping is in general not unique, because the spectral sensitivities of most of the devices do not satisfy the Luther condition and the acquisition and viewing light sources have a different power spectrum. Therefore, there exists a set of colors with different reflectance spectra w...

In the paper a probabilistic approach to quality assessment of image processing algorithms is proposed. Presented scalar measure can be used for any colour space and gives very similar results regardless on the image content. It can be an interesting supplement to existing image quality metrics in applications where the details of the processing algorithm are known. Its good correlation with su...

The computational view on image quality of Janssen and Blommaert states that the quality of an image is determined by the degree to which the image is both useful (discriminability) and natural (identifiability). This theory is tested by creating two manipulations. Firstly, multiplication of the chroma values of each pixel with a constant in the CIELab color space, i.e., chroma manipulation, is...