single-jc.php

JACIII Vol.7 No.2 pp. 235-243
doi: 10.20965/jaciii.2003.p0235
(2003)

Paper:

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, 2002
Accepted:
January 28, 2003
Published:
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:
Noriaki Suetake and Masanori 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:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 15, 2021