Paper Info
Title
Progressive coding of error diffused images.
Abstract
We proposed a new method to compress error-diffused images with spatial scalability. This method is a kind of combination of inverse halftone and rehalftone. During inverse halftoning, we combine four dots into a pixel of a reduced image. After then, the reduced image is rehalftoned using error diffusion algorithm. We encode an error-diffused image progressively from the lowest resolution image to higher resolution image. To code higher resolution images, we use the dots in the previously coded lower resolution image. The compression ratios of the proposed algorithm are similar to those of JBIG progressive mode. However, the reduced image quality from the proposed algorithm is better than that from the JBIG progressive mode.
Year
DOI
Venue
2002
10.1109/ICIP.2002.1039136
ICIP (3)
Keywords
Field
DocType
arithmetic,compression ratio,spatial resolution,data compression,pixel,frequency,image reconstruction,image quality,image resolution,image processing,low frequency noise
JBIG2,Computer vision,Pattern recognition,Image texture,Computer science,Binary image,Image processing,Sub-pixel resolution,Artificial intelligence,JBIG,Image restoration,Image resolution
Conference
Volume
ISSN
Citations 
3
1522-4880
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Chul-Soo Lee1405.30
Hyun Wook Park249554.79