Improving quality of error-diffusion using random-function based combination of algorithm

Wenhua Zhu; Xiaohua Wang; Xiaojie Xiu

doi:10.1117/12.752794

14 November 2007 Improving quality of error-diffusion using random-function based combination of algorithm

Wenhua Zhu, Xiaohua Wang, Xiaojie Xiu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892L (2007) https://doi.org/10.1117/12.752794
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, we describe the method of random-function based combination of algorithm to improve the quality of variable-coefficient error-diffusion. To remove the visual artifacts, we propose a variable-direction E-D algorithm which can generate none artifact images on the intensity of V-C-E-D's artifacts area. Using random-function and a set of thresholds to control the selection of the algorithm. Experiments were done on the critical level to get the optimal thresholds. The result of the algorithm combination is an artifact-free halftoning in the full range of intensities. Artifacts of V-C-E-D and V-D-E-D are all removed. Fourier spectra analysis of the selected key density further supports this conclusion.

Citation Download Citation

Wenhua Zhu, Xiaohua Wang, and Xiaojie Xiu "Improving quality of error-diffusion using random-function based combination of algorithm", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892L (14 November 2007); https://doi.org/10.1117/12.752794

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KEYWORDS

Visualization

Image filtering

Image quality

Binary data

Diffusion

Halftones

Lithium

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