color halftoning, halftone noise reduction, color saturation Current methodologies for color image halftoning produce prominent halftoning noise. In this paper we argue that brightness variation between color dots placed at neighboring locations is a major cause of color halftone noise. To correct this flaw we propose Ink Relocation, a postprocess to arbitrary color halftoning algorithms. The p...

In this article, we propose a novel stroke width transform (SWT) voting-based color reduction method for detecting text in natural scene images. Unlike other text detection approaches that mostly rely on either text structure or color, the proposed method combines both by supervising text-oriented color reduction process with additional SWT information. SWT pixels mapped to color space vote in ...

In this paper we present a new alternative noise reduction method for color images that were corrupted with additive Gaussian noise. We illustrate that color images have to be processed in a different way than most of the state-of-the-art methods. The proposed method consists of two sub-filters. The main concern of the first subfilter is to distinguish between local variations due to noise and ...

Reduction of number of image colors is an important task for presentation, transmission, segmentation, and compression of color images. In most cases, it is easier to process and understand an image with a limited number of colors. Color image reduction speeds up the manipulations on an image and reduces the storage cost and transmission cost. Various techniques have been proposed for color ima...

reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. it also decreases memory and transmission bandwidth requirements. moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. in this paper, the kohene...

In this work a pixel-level fusion technique for enhancing the visual interpretation of multispectral images is proposed. The technique takes into consideration the inherent high correlation of the RGB bands of natural color images, a fact strictly related to the color perception attributes of the human eye. The method provides dimensionality reduction in the multispectral vector space, while th...