Inverse halftoning algorithm using edge-based lookup table approach.
The inverse halftoning algorithm is used to reconstruct a gray image from an input halftone image. Based on the recently published lookup table (LUT) technique, this paper presents a novel edge-based LUT method for inverse halftoning which improves the quality of the reconstructed gray image. The proposed method first uses the LUT-based inverse halftoning method as a preprocessing step to transform the given halftone image to a base gray image, and then the edges are extracted and classified from the base gray image. According to these classified edges, a novel edge-based LUT is built up to reconstruct the gray image. Based on a set of 30 real training images with both low-and high-frequency contents, experimental results demonstrated that the proposed method achieves a better image quality when compared to the currently published two methods, by Chang et al. and Meşe and Vaidyanathan.
Chung
Kuo-Liang
KL
Department of Computer Science and Information Engineering National Taiwan University of Science and Technology, Taipei, Taiwan 10672, ROC. klchung@cs.ntust.edu.tw
Wu
Shih-Tung
ST
D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D044962:Data Compression / Q000379:methods*; D016208:Databases, Factual; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted