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An effective method for contrast enhancement in an image was presented by Russo [l], which was controlled by the trial-and-error tuning of one parameter. The same parameter was used for the entire image resulting in over blurring or sharpening of features in the image. In this paper, we apply Russo's algorithm on impulse noise and propose an efficient method for automatically obtaining the parameter value. Each pixel is adaptively assigned a different parameter value by evaluating the local features. Results of the proposed method are compared with those of Russo's algorithm and of other methods for sharpening of image features. Experimental values indicate that the proposed method effectively tunes the operator yielding superior performance. ~ 0-7803-7651-X/03/'617.00 0 2003 IEEE

This paper describes the design and implementation of a web-based Collaborative enabled Multimedia Content Authoring and Management System (CMCAMS) for organizing, integrating and composing personalized and interactive course notes for online education. A 5-layered architecture is proposed for the CMCAMS and is implemented using the Java 2 Enterprise Edition (J2EE). A Web-based distance education system has been developed over this framework to test its effectiveness. This system enables educators to manage personalized learning materials that are structured, profiled and streamed to students. It will examine the user's profile to identify what level of difficulty to incorporate and what kind of presentation style to adopt based on the bandwidth available to students. The CMCAMS uses XML and XSLT techniques to generates SMIL documents, which form the backbone for educational online materials. The CMCAMS has several essential features: (1) Remote Access (2) Easy to use and (3) Support for Multi-Style.

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