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Proceedings ArticleDOI

New edge-enhanced error diffusion based on the error sum criteria

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TLDR
A new edge enhanced error diffusion algorithm which is based on the Eschbach's algorithm is proposed, which provides edge enhanced binary output images and is less influenced by the brightness offset and thick edge artifacts are reduces.
Abstract
In this paper, a new edge enhanced error diffusion algorithm which is based on the Eschbach's algorithm is proposed. Thick edge artifacts with large edge enhancing factor as well as less edge enhancement effects for the bright or dark pixel values are observed in the previous algorithm. By analyzing the phenomena, a new improved algorithm is proposed by using the diffused error sum and input pixel value. An input pixel is classified into a normal- or edge-region pixel based on the error sum criteria. Then, a new error calculation is employed for the edge-region pixel, while conventional error calculation is used for the normal- region pixel. The proposed method requires only a few additional calculations, and provides edge enhanced binary output images. The edge is less influenced by the brightness offset and thick edge artifacts are reduces.

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Citations
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Journal ArticleDOI

Error diffusion algorithm with homogenous response in highlight and shadow areas

TL;DR: A modified error diffusion algorithm that results in a homogenous pulse distribution in the highlight and shadow areas of the binarized images is described, thereby allowing a fast implementation of a two-dimensional threshold imprint.
Proceedings ArticleDOI

A VLSI implementation of image processor for facsimile and digital copier

TL;DR: The image processor performs CCD and CIS interface, pre-processing, enlargement and reduction of gray level image, and various halftoning algorithms, and line-by-line pipelined data processing architecture is employed with time sharing access of the external memory.
References
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Proceedings ArticleDOI

Model-based halftoning using direct binary search

TL;DR: A new method to generate halftone images which are visually optimized for the display device by recursively computing the change in perceived mean-squared error due to a change in the value of a binary pixel, and achieves a substantial reduction in computational complexity.
Journal ArticleDOI

Digital halftoning technique using a blue-noise mask

TL;DR: A novel digital halftoning technique, by a pixelwise comparison of the gray-scale image to an array (halftone screen), the blue-noise mask, is presented and an algorithm for the construction of binary patterns with the same first-order but different second-order statistics is presented.
Journal ArticleDOI

Error-diffusion algorithm with edge enhancement

TL;DR: A modification of the error-diffusion algorithm is shown that introduces an input-dependent threshold into the process and establishes a fast and efficient way to increase or decrease edge enhancement in the algorithm.
Journal ArticleDOI

Threshold modulation in error diffusion

TL;DR: It is shown that spatial modulation of the threshold is mathematically identical to processing an equivalent input image with the standard error diffusion algorithm, which can be used to explain the several published observed effects of threshold modulation.
Proceedings ArticleDOI

Error image in error diffusion

TL;DR: It is shown that the error image contains a linear component of the input image, which induces edge enhancement in the output error diffusion image.