Edge-Enhanced Error Diffusion Halftoning using Human Visual Properties

Kwak, Nae-Joung; Ryu, None Soung-Pil; Ahn, Jae-Seong

doi:10.1109/ichit.2006.253533

Cited by 6 publications

(1 citation statement)

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“…Because the edges are an important consideration in human perception [11], some halftoning algorithms fail to truly convey the appearance of the original image. In order to improve the quality of halftone reproduction, many researchers have developed structure-based halftoning algorithms on the basis of the classical halftoning techniques [11][12][13][14][15][16][17][18][19]. The main idea of structure-based halftoning algorithms is to employ the important information derived from the original image content, such that the halftone better resembles the original image.…”

Section: Introductionmentioning

confidence: 99%

Structure-Aware Halftoning Using the Iterative Method Controlling the Dot Placement

Abedini¹,

Gooran²,

Kitanovski³

et al. 2021

jist

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Many image reproduction devices, such as printers, are limited to only a few numbers of printing inks. Halftoning, which is the process to convert a continuous-tone image into a binary one, is, therefore, an essential part of printing. An iterative halftoning method, called Iterative Halftoning Method Controlling the Dot Placement (IMCDP), which has already been studied by research scholars, generally results in halftones of good quality. In this paper, we propose a structure-based alternative to this algorithm that improves the halftone image quality in terms of sharpness, structural similarity, and tone preservation. By employing appropriate symmetrical and non-symmetrical Gaussian filters inside the proposed halftoning method, it is possible to adaptively change the degree of sharpening in different parts of the continuous-tone image. This is done by identifying a dominant line in the neighborhood of each pixel in the original image, utilizing the Hough Transform, and aligning the dots along the dominant line. The objective and subjective quality assessments verify that the proposed structure-based method not only results in sharper halftones, giving more three-dimensional impression, but also improves the structural similarity and tone preservation. The adaptive nature of the proposed halftoning method makes it an appropriate algorithm to be further developed to a 3D halftoning method, which could be adapted to different parts of a 3D object by exploiting both the structure of the images being mapped and the 3D geometrical structure of the underlying printed surface.

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