Abstract
Restoration of color-quantized images is rarely addressed in the literature especially when the images are color-quantized with halftoning. Most existing restoration algorithms are generally inadequate to deal with this problem as they were proposed for restoring noisy blurred images. In this paper, a restoration algorithm based on simulated annealing is proposed to solve the problem. This algorithm makes a good use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results show that it can improve the quality of a halftoned color-quantized image remarkably in terms of both SNR and CIELAB color difference metric. The subjective quality of the restored images can also be improved.
Original language | English |
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Pages (from-to) | 280-292 |
Number of pages | 13 |
Journal | Signal Processing: Image Communication |
Volume | 21 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2006 |
Keywords
- Color-quantization
- Halftoning
- Image restoration
- Simulated annealing
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering