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This paper studies a new color image edge detection method. The fuzzy inference engine is designed to detect edges. Some membership functions in horizontal and vertical directions are used for edge detecting. Experimental results show the presented method provides good performance when it is compared with conventional methods.

With increasing use of color images for various applications, transmitting them quickly and with high fidelity has been possibly the greatest challenge today. In order to achieve this objective, the image has to be compressed to the greatest extent with the loss of as little image information as possible. Many current popular color image coding formats enhance the compression by the use of a co...

To find an appropriate color transform is necessary and helpful for the applications of color images. In this paper, we proposed a new scheme to find color transforms close to the optimal transform and agree with human vision system for comparison. We first apply the perceptually uniform color space transform to convert RGB components into uniform CIE LAB components, and then use principal comp...

Image fusion is the process of integration of two or more source images into a single fused image. The resultant fused image is used to retain the important features of the source images. Color image fusion is the process of integrating one or more color images to enhance clarity of the image. The application of color image fusion simplifies object identification and helps in better cognition. ...