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Digital image halftoning by noise thresholding

Makur, Anamitra and Raghuveer, MR (1995) Digital image halftoning by noise thresholding. In: 1995 International Conference on Acoustics, Speech, and Signal Processing:ICASSP-95, 9-12 May 1995, Detroit, Michigan, USA, 2535-2538.

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Abstract

Approaches for digital halftoning of images using dithering threshold the input image with additive dithering noise. The paper presents a technique which thresholds the noise directly. The threshold is modified at each step such that the expected value of the output is equal to the input pixel's gray value. Further, error feedback is used to correct the threshold. Tests on images show the method's ability to retain features in the high frequency regions such as edges as well as low frequency features such as slow variations in intensity. One advantage the proposed method is its very general nature since it offers a wide choice of the three filters: noise shaping filter, feedforward filter and feedback filter.

Item Type: Conference Paper
Additional Information: 1995 IEEE.Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:37
URI: http://eprints.iisc.ernet.in/id/eprint/10841

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