3D Halftoning based on Iterative Method Controlling Dot Placement

Abedini, Fereshteh; Gooran, Sasan; Nyström, Daniel

doi:10.2352/issn.2169-4451.2020.36.69

Cited by 6 publications

(12 citation statements)

References 6 publications

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“…The original IMCDP algorithm has been extended to 3D domain in Ref. [40] and the effect of applying variable halftone structures based on the spatial information has shown that different halftone structures could be used to control the reproduction of details [24,41]. As a next step, we are planning to develop an adaptive structure-aware 3D color halftoning algorithm, which has all the reproduction qualities of IMCDP while being aware of the color and geometry of the 3D object.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Motion Sickness in Automated Vehicles using Stereoscopic Visual Simulation

Abedini¹,

Gooran²

2022

jist

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Structure-aware halftoning algorithms aim at improving their non-structure-aware version by preserving high-frequency details, structures, and tones and by employing additional information from the input image content. The recently proposed achromatic structure-aware Iterative Method Controlling the Dot Placement (IMCDP) halftoning algorithm uses the angle of the dominant line in each pixel's neighborhood as supplementary information to align halftone structures with the dominant orientation in each region and results in sharper halftones, gives a more three-dimensional impression, and improves the structural similarity and tone preservation. However, this method is developed only for monochrome halftoning, the degree of sharpness enhancement is constant for the entire image, and the algorithm is prohibitively expensive for large images. In this paper, we present a faster and more flexible approach for representing the image structure using a Gabor-based orientation extraction technique which improves the computational performance of the structure-aware IMCDP by an order of magnitude while improving the visual qualities. In addition, we extended the method to color halftoning and studied the impact of orientation information in different color channels on improving sharpness enhancement, preserving structural similarity, and decreasing color reproduction error. Furthermore, we propose a dynamic sharpness enhancement approach, which adaptively varies the local sharpness of the halftone image based on different textures across the image. Our contributions in the present work enable the algorithm to adaptively work on large images with multiple regions and different textures.

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Section: Discussionmentioning

confidence: 99%

Estimation of Motion Sickness in Automated Vehicles using Stereoscopic Visual Simulation

Abedini¹,

Gooran²

2022

jist

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“…In [7], the extension of the two-dimensional IMCDP to a 3D halftoning method, called 3D IMCDP, is thoroughly described. In this section, a brief description of 3D IMCDP is given.…”

Section: D Imcdpmentioning

confidence: 99%

“…This will give one of them much more chance to be chosen as the maximum than the other one. This will cause undesirable halftone structure artifacts, as illustrated in [7]. In order to reduce this effect, instead of using a 3D Gaussian function, an 𝑚 × 𝑚 2D Gaussian function is designed and the weights are sorted in descending order.…”

Section: D Imcdpmentioning

confidence: 99%

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3D Surface Structures and 3D Halftoning

Gooran¹,

Abedini²

2020

print4fab

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As 3D printing is becoming increasingly popular, the demand for high quality surface reproduction is also increasing. Like in 2D printing, halftoning plays an important role in the quality of the surface reproduction. Developing advanced 3D halftoning methods for 3D printing and adapting them to the structure of the surface is therefore essential for improving surface reproduction quality. In this paper, an extension of an iterative 2D halftoning method to 3D is used to apply different halftone structures on 3D surfaces. The results show that using different halftones based on the 3D geometrical structure of the surface and/or the viewing angle in combination with the structure of the texture being mapped on the surface can potentially improve the quality of the appearance of 3D surfaces.

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“…In Ref. [17], an iterative 3D halftoning method, called 3D IMCDP was introduced, which is an extension of the 2D IMCDP halftoning method discussed in Ref. [2].…”

Section: Introductionmentioning

confidence: 99%

Structure-Aware Color Halftoning with Adaptive Sharpness Control

Gooran¹,

Abedini²

2022

jist

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printing are becoming increasingly popular, and consequently the demand for high quality surface reproduction is also increasing. Halftoning plays an important role in the quality of the surface reproduction. Three dimensional halftoning methods, that adapt the halftone structures to the geometrical structure of 3D surfaces or to the viewing direction, could further improve surface reproduction quality. In this paper, a 3D adaptive halftoning method is proposed, that incorporates different halftone structures on the same 3D surface. The halftone structures are firstly adapted to the 3D geometrical structure of the surface. Secondly, the halftone structures are adapted based on the normal vector to the surface at a specific voxel. Two simple approaches to approximate the normal vector are also proposed. The problem of edge artefacts that might occur in the previously proposed 3D Iterative Method Controlling the Dot Placement (IMCDP) halftoning method is discussed and a solution to reduce these artefacts is given. The results show that the proposed adaptive halftoning can combine different halftone structures on the same 3D surface with no transition artefacts between different halftone structures. It is also shown that using second-order frequency modulation (FM) halftone, in comparison to first-order FM, can result in more homogeneous appearance of 3D surfaces with undesirable structures on them.

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3D Halftoning based on Iterative Method Controlling Dot Placement

Cited by 6 publications

References 6 publications

Estimation of Motion Sickness in Automated Vehicles using Stereoscopic Visual Simulation

Estimation of Motion Sickness in Automated Vehicles using Stereoscopic Visual Simulation

3D Surface Structures and 3D Halftoning

Structure-Aware Color Halftoning with Adaptive Sharpness Control

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3D Halftoning based on Iterative Method Controlling Dot Placement

Cited by 6 publications

References 6 publications

Estimation of Motion Sickness in Automated Vehicles using Stereoscopic Visual Simulation

Estimation of Motion Sickness in Automated Vehicles using Stereoscopic Visual Simulation

3D Surface Structures and 3D Halftoning

Structure-Aware Color Halftoning with Adaptive Sharpness&#xA0;Control

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Product

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Structure-Aware Color Halftoning with Adaptive Sharpness Control