Simple segmentation algorithm for mixed raster contents image representation
Zhigang Fan, Ming Xu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Mixed Raster Contents (MRC) is a powerful image representation concept in achieving high compression ratios while maintaining high reconstructed image quality. By decomposing an image into different planes, each plane of the raster data can be compressed by different coding schemes according to its individual attributes. This paper presents a simple segmentation algorithm for implementing the MRC model. The segmentation is performed block by block. Each image block is segmented according to its local statistics as well as its surrounding context. The latter is determined by a Markov model.