Abstract
This paper studies the restoration of images which are color-quantized with error diffusion. Though there are many reported algorithms proposed for restoring noisy blurred color images and inverse halftoning, restoration of color-quantized images is rarely addressed in the literature especially when the images are color-quantized with halftoning. Direct application of existing restoration techniques are generally inadequate to deal with this problem. In this paper, a restoration algorithm based on projection onto convex sets is proposed. This algorithm makes use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results showed that it could improve the quality of a halftoned color-quantized image remarkably in terms of both SNR and CIELAB color difference metric.
| Original language | English |
|---|---|
| Pages (from-to) | 1985-1992 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 15 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 1 Jul 2006 |
Keywords
- Color palette
- Color quantization
- Color restoration
- Error diffusion
- Image restoration
- Inverse halftoning
- Projection onto convex sets (POCS)
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design
- Software
- Theoretical Computer Science
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition