A publishing system based on fluency coding method
Fumio Kawazoe, Kazuo Toraichi, Paul Kwan, K. Nakamura · Proceedings - International Conference on Image Processing · 2003
The paper proposes a new publishing system using PC and large-sized printer that can produce high quality printed matter comprising text, charts, illustrations, etc. As the core component of this system, a coding method that can ensure the quality of decoded images even on affine-transformed enlargement or reduction is needed. Conventional coding methods, however, cannot claim to have satisfied such a requirement. The paper presents a novel method for encoding and decoding binary images via adaptive approximation of the object contours using fluency functions, in the form of straight lines, arcs, and curved lines, that were proposed by one of the authors and others (see Kamada, M. et al., J. Approx. Theory, vol.55, no.1, p.27-34, 1988). Based on experimental results, we demonstrate that the quality of the decoded images is maintained without jaggy-noise, even on resizing. Furthermore, signboards produced by this publishing system have been used in several live events.