A note on a high resolutional communication system using fluency theory

When we want to encode a hand-written document and store the encoded data in a computer, and transmit it as binary image data via the Internet or public communication networks, the image data is required to be compressed into a small capacity in the network environment with limited network bandwidth. There are two important aspects concerning the encoding/decoding of binary image data. One is how to keep the fine quality of the original image data, and the other is how to reduce the capacity of data. The paper proposes a new communication system by which the original binary image can keep its fine quality even when it is enlarged or reduced, at the same time, and reconstructed from the compressed data at a high speed