Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-to-day life for various applications. Impulse noise reduction method is one of the critical techniques to reduce the noise in color images. In this paper the impulse noise reduction method for color images by using Fuzzy Logic is im...

A new technique for color reduction of complex document images is presented in this article. It reduces significantly the number of colors of the document image (less than 15 colors in most of the cases) so as to have solid characters and uniform local backgrounds. Therefore, this technique can be used as a preprocessing step by text information extraction applications. Specifically, using the ...

In this article a method for color reduction based on ant colony algorithm is presented. Generally color reduction involves two steps: choosing a proper palette and mapping colors to this palette. This article is about the first step. Using ant colony algorithm, pixel clusters are formed based on their colors and neighborhood information to make the final palette. A comparison between the resul...

| We propose a new deenition of the total variation norm for vector valued functions which can be applied to restore color and other vector valued images. The new TV norm has the desirable properties of (i) not penalizing discontinuities (edges) in the image, (ii) rotationally invariant in the image space, and (iii) reduces to the usual TV norm in the scalar case. Some numerical experiments on ...

In this paper, we introduce a new band selection approach for the color visualization of spectral images. Unlike traditional methods, we propose to make a selection out of a comparison of the saliency maps of the individual spectral channels. This allows to assess how different they are in terms of prominent features. A comparison metric based on Shannon’s information theory at the second and t...

A new technique for color reduction is presented, based on the analysis of the histograms of an image at different resolutions. Given an input image, lower resolution images are generated by using a scaling down interpolation method. Then, peaks and pits that are present in the histograms at all resolutions and dominate in the histogram of the input image at full resolution are taken into accou...

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...

This paper presents simple yet powerful improvements in color reduction field, targeting interactive high-quality applications. Here maximum distance clustering (MDC) is used to initialize K-means clustering, which eliminates the drawback of clustering-based color reduction that tends to ignore colors with a small number of pixels. Maximum distance clustering’s speed problem due to the problem ...

A method for reduction of color space dimensionality by moment-preserving thresholding and its application in edge detection for color images is proposed. An input color image is partitioned into n x n non-overlapping blocks. A moment-preserving thresholding technique is then applied individually to each color plane of each image block. Two sets of (R, G, B) tristimulus values are obtained from...