Adaptive Incremental Stippling using the Poisson-Disk Distribution

Ascencio-Lopez, Ignacio; Meruvia-Pastor, Oscar; Hidalgo-Silva, Hugo

doi:10.1080/2151237x.2010.10390650

Cited by 10 publications

(12 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Secord [88] used a weighted Voronoi diagram for image stippling. Then, various techniques were proposed to improve the quality of stippling [2,48,52,54,89] . More recently, Ge et al [90] used bilateral blue-noise sampling [59] for video stippling.…”

Section: Image/video Stipplingmentioning

confidence: 99%

A Survey of Blue-Noise Sampling and Its Applications

Yan

Guo

Wang

et al. 2015

J. Comput. Sci. Technol.

View full text Add to dashboard Cite

In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorithms based on various aspects, e.g., the sampling domain and the type of algorithm. We demonstrate several well-known applications that can be improved by recent blue-noise sampling techniques, as well as some new applications such as dynamic sampling and blue-noise remeshing.

show abstract

Section: Image/video Stipplingmentioning

confidence: 99%

A Survey of Blue-Noise Sampling and Its Applications

Yan

Guo

Wang

et al. 2015

J. Comput. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…The topic of generating images with particular art form has been extensively explored in the field of non‐photorealistic rendering. Among those previous researches, our work is closely related to the image stylization in the context of halftoning [MP92, LAG98, MV02, PQW * 08, BH13], stippling [Sec02, JH05, ALMPHS10], hatching [PHWF01, WPFH02], line drawing [KB05,WT11, WT13,TFL13], and scribbling [CLLC15]. Halftoning and stippling are commonly used techniques for approximating continuous tone using discrete dots with varying size and sampling density.…”

Section: Related Workmentioning

confidence: 99%

Generating Color Scribble Images using Multi‐layered Monochromatic Strokes Dithering

Lee

Chu

2019

Computer Graphics Forum

View full text Add to dashboard Cite

Color scribbling is a unique form of illustration where artists use compact, overlapping, and monochromatic scribbles at microscopic scale to create astonishing colorful images at macroscopic scale. The creation process is skill‐demanded and time‐consuming, which typically involves drawing monochromatic scribbles layer‐by‐layer to depict true‐color subjects using a limited color palette delicately. In this work, we present a novel computational framework for automatic generation of color scribble images from arbitrary raster images. The core contribution of our work lies in a novel color dithering model tailor‐made for synthesizing a smooth color appearance using multiple layers of overlapped monochromatic strokes. Specifically, our system reconstructs the appearance of the input image by (i) generating layers of monochromatic scribbles based on a limited color palette derived from input image, and (ii) optimizing the drawing sequence among layers to minimize the visual color dissimilarity between dithered image and original image as well as the color banding artifacts. We demonstrate the effectiveness and robustness of our algorithm with various convincing results synthesized from a variety of input images with different stroke patterns. The experimental study further shows that our approach faithfully captures the scribble style and the color presentation at respectively microscopic and macroscopic scales, which is otherwise difficult for state‐of‐the‐art methods.

show abstract

“…These artifacts are undesirable because they suggest structures where there are none-stipple artist train themselves to avoid them as outlined in Section 2. Several techniques have been created since then to avoid the unwanted artifacts such as the use of randomness/noise [18,19], probability density functions [32,33,35], Poisson disc distributions [4,7,36,37,38], non-repetitive tiling [4], capacity-constrained relaxation [34], or example-based dot placement [25]. In particular, the use of example-based stipple dot placement has advantages for the goal of faithfully replicating manual stippling.…”

Section: Dot Placementmentioning

confidence: 99%

“…Because this approach attempts to copy distribution characteristics from real examples [25] it can not only capture the style of individual stipple artists but it also avoids the impression of being 'too perfect' that purely algorithmic stipple placement may convey-even if the algorithmically derived distribution of the dots satisfies established (mathematical) criteria. Poisson disc sampling, for example, produces distributions with an even yet random distribution of dots, while ensuring that a minimum distance is always maintained [10,37]. This distribution has blue noise spectral characteristics, which is considered to produce visually pleasing patterns.…”

Section: Dot Placementmentioning

confidence: 99%

A survey of digital stippling

Martn

Arroyo

Rodrguez

et al. 2017

Computers & Graphics

View full text Add to dashboard Cite

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Copyright

show abstract

Adaptive Incremental Stippling using the Poisson-Disk Distribution

Cited by 10 publications

References 15 publications

A Survey of Blue-Noise Sampling and Its Applications

A Survey of Blue-Noise Sampling and Its Applications

Generating Color Scribble Images using Multi‐layered Monochromatic Strokes Dithering

A survey of digital stippling

Contact Info

Product

Resources

About