A Publishing System based on Fluency Coding Method

This paper proposes a new publishing system using PC and large-sized printer that can produce high quality printed matters comprising text, charts, and illustrations, etc. To construct this system, a novel coding method is needed to ensure the quality of decoded images even on Affine-transformed enlargement or reduction. Conventional coding methods, however, cannot claim to have satisfied such a requirement. This paper presents an algorithm for encoding and decoding binary images by adaptively approximating the contours using Fluency functions in the form of straight lines, arcs, and curved lines that were proposed by one of the authors. From the experimental results, we demonstrate that the quality of the decoded images was also maintained without the jaggy noises even on resizing. Furthermore, signboards produced by our publishing system have actually been used in several live events.