A Method on Tracking Common Boundaries of Color Regions in function Approximation-based Image Coding

A boundary tracking method crucial to function approximation-based image coding is proposed that solves the problems caused by duplicate tracking the common boundaries of color regions when methods conventionally applied to bi-level raster images are inappropriately used. Experimental evaluation is performed to verify its effectiveness

On an image contour compression method using compactly supported sampling functions

In this paper, we propose a novel image contour compression method using Compactly Supported Sampling Functions. To demonstrate the effectiveness of our method, we experimented it on a real life application using beef marbling images for an integrated database and display system to assist beef marbling evaluation. This method's applicability, however, is not limited to beef marbling images but can be extended to other applications having the need for image contour compression

A Method for High Precision Enlargement of Pictures taken by Cellular Phone on Personal Computer

In this paper, we propose a method to enlarge and display images of picture with high precision and scalability taken by cellular phone on personal computer without producing jaggy noises. One of the major problems we face in image enlargement is the amplification of the jaggy edges. To deal with this problem, we first detect the edges, and approximate them using three kinds of functions including straight line, arc and quadratic curve. In addition, the color information of the enlarged image is determined by interpolation using quadratic Fluency DA function, which is subsequently merged with the edge information obtained earlier. This enables the construction of a high precision and scalable image that cannot be produced by conventional image coding method such as JPEG or MPEG

Compressed Beef Marbling Image Database with Browser-based Retrieval System

The system we are proposing in this paper demonstrates the capability of a robust multi-user access database management system by which compressed beef carcass rib-eye images, together with other related information, can be easily accessed on the Internet through web browsers in a client-server distributed fashion. This framework, we believe, can pioneer a new direction in information reuse and sharing among different users of the Japanese livestock industry that is non-existent at present. The compression technique we employ has its basis in a class of functions which we termed Fluency functions that enables highly efficient storage and retrieval of image data over the Internet with limited bandwidth. Eventually, we envision that the characteristics of the compressed data could provide insights into creating efficient image matching and retrieval algorithms that constitute a layer above the functions being provided by current database management systems. Such research, we believe, could contribute to a wider range of application domains involving images such as cartographic data and medical images, etc