Share Email Print
cover

Proceedings Paper

Fast adaptive-spatial-varying filtering for inverse halftoning
Author(s): Ming Sun Fu; Oscar Chi Lim Au
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Inverse halftoning is a process to recover the multi-tone images from halftone images. Since halftoning is not an invertible process, there is no clear best or unique approach for inverse halftoning. In this paper, we propose a low complexity, high quality Fast Adaptive-spatial-varying Filtering (FAF) for inverse halftoning, which is robust to different kinds of halftone images. FAF is a two-step algorithm combining spatial-variant and spatial invariant filtering. Firstly, it uses spatial invariant filter to suppress the halftone noise and then generates the target image. Secondly, it uses spatial variant filter to filter the halftone image based on the target image. Combining these two filtering, FAF can filter the noise and preserve edges of the halftone image at the same time, which is essential for effective inverse halftoning.

Paper Details

Date Published: 29 December 2000
PDF: 9 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411862
Show Author Affiliations
Ming Sun Fu, Hong Kong Univ. of Science and Technology (Hong Kong)
Oscar Chi Lim Au, Hong Kong Univ. of Science and Technology (Hong Kong)


Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

© SPIE. Terms of Use
Back to Top