Simple segmentation algorithm for mixed raster contents image representation

Zhigang Fan; Ming Xu

doi:10.1117/12.452975

28 December 2001 Simple segmentation algorithm for mixed raster contents image representation

Zhigang Fan, Ming Xu

Proceedings Volume 4663, Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII; (2001) https://doi.org/10.1117/12.452975
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

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.

Citation Download Citation

Zhigang Fan and Ming Xu "Simple segmentation algorithm for mixed raster contents image representation", Proc. SPIE 4663, Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII, (28 December 2001); https://doi.org/10.1117/12.452975

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available