Digital halftoning
Discrete-time signal processing
Discrete-time signal processing
Digital Color Halftoning
Digital Picture Processing
What We Need Around Here is More Aliasing
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Analysis of Moire Patterns in Non-Uniformly Sampled Halftones
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Multiple layer screening for reducing moire patterning and ink bleeding
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
The Theory of the Moiré Phenomenon: Volume 2 (Computational Imaging and Vision)
The Theory of the Moiré Phenomenon: Volume 2 (Computational Imaging and Vision)
IEEE Computer Graphics and Applications
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
This paper proposes a novel adaptive filtering technique to achieve high-quality image enhancement when the image possesses the artifact of moiré pattern during the reproduction by different computer peripherals such as color copiers, or scanners plus printers.Commercial magazine images are halftoned images. Unacceptable noises and moiré distortion may occur when halftone images are copied (i.e., scanned and printed). In this paper, we analyze the formation of moiré patterns in both the frequency and spatial domain. Basically moiré noise often appears due to the aliased frequency when a halftone image is scanned. Based on the analysis of the scanned halftone image, we develop an adaptive filter to suppress the moiré artifacts and produce the high-quality image reproduction. The adaptive filter consists of modules of anti-aliased filter and image enhance filter: the anti-aliased filter is applied to cancel aliased low frequency components (moiré distortion); the image enhance filter is applied to sharpen image edges. It depends on the information provided by an image classification module to decide either the anti-aliased or image enhance module should be applied. The classification module is developed based on a set of pyramid images to determine an edge is either a global true edge (for sharpening enhancement) or a local halftone's micro-structural edge (for moiré reduction). Depending on the information from the classification module, the adaptive filter technique then applies the anti-aliased filter to the halftone micro-structured edge or the enhanced filter to the image global edge correctly and efficiently, and therefore both the moiré reduction and image enhancement can be achieved simultaneously. Experimental results show the outstanding effectiveness of the presented technique for high-quality magazine image reproduction.