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High-quality Multi-level Error Diffusion Method Employing Fuzzy Inference
Noriaki Suetake* and Masanori Togashi**
*Institute of Engineering Mechanics and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
**College of Engineering Systems, Third Cluster of Colleges, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Received:December 13, 2002Accepted:January 28, 2003Published:June 20, 2003
Keywords:error diffusion method, resolution, layered multi-level error diffusion method, fuzzy inference
Abstract
We propose a new multi-level error diffusion method employing the fuzzy inference, which realizes half toning with high quality. In the proposed method, dissimilar textures around quantization levels, which are the cause of the low image quality and obtained by a conventional method, are decreased by using fuzzy inference. In this paper, we apply the proposed method to various standard digital images. The image quality of the result using the proposed method is higher than those of other methods without noise-add filtering, and it is almost same as them with filtering in 2 or 3 times faster processing.
Cite this article as:N. Suetake and M. Togashi, “High-quality Multi-level Error Diffusion Method Employing Fuzzy Inference,” J. Adv. Comput. Intell. Intell. Inform., Vol.7 No.2, pp. 235-243, 2003.Data files:
