Binary Image Compression and Reconstruction Based on Blended Chain Encoding
Ting Zhang · Journal of Tangshan College · 2010
In this paper, we present a blended chain code-based algorithm for contour profiles which compresses and reconstructs an binary image. This algorithm includes damaged and undamaged parts, processes image contour profiles and generates extensive numbers of chain links that can be encoded according to (n10,5) rule to realize high compression ratio. Furthermore, for the damaged part,we introduce a new linear processing technique to smooth the contour profiles and maintain the high image quality. The experimental results show that the method precedes other chain coding methods including FCC,DCC-8 and LZ. In addition, this scheme produces a significantly higher compression ratio than WinZip,JBIGl ,and JBIG2 standards.