Colored pencil filter with custom colors

Yamamoto, S.; Mao, Xiaoyang; Imamiya, Atsumi

doi:10.1109/pccga.2004.1348364

Cited by 22 publications

(44 citation statements)

References 18 publications

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“…Mao adopted line integral convolution to automatically generate pencil drawing. Yamamoto et al used the Kubelka–Munk optical compositional model to superimpose the layers of the stroke image for each color. Lee et al produced a pencil drawing style image of an input three‐dimensional mesh by a real‐time pencil drawing technique, imitating human trial‐and‐error in contour drawing and mapping oriented textures onto the object surface.…”

Section: Related Workmentioning

confidence: 99%

SRNPD: Spatial rendering network for pencil drawing stylization

Jin

Sheng

et al. 2019

Computer Animation & Virtual

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Pencil drawing is a simple yet effective way to depict what people see by clearly presenting details of the scene. Existing methods usually extract strokes of the input image and adjust the result image tone to make it look like a pencil drawing. However, they do not consider the quality of the stroke image and the geometry information of lines in the stroke image, which unavoidably results in the violation of original essential structures and in a flatten pencil drawing with unrealistic appearance. We put forward a spatial rendering network for pencil drawing stylization. Spatial stroke images are extracted from the image pyramid by a single‐shot bottom‐up neural network to improve the quality of these stroke images. Unlike the former tone adjustment–based methods, we analyze perceptual cues of strokes at different stroke image levels and use the obtained geometry information to constrain the stroke shading procedure. The final pencil drawing result is achieved by the stroke shading fusion of different levels' shading results. The effectiveness of our spatial rendering network for pencil drawing stylization is demonstrated by an ablation study, comparison to the state of the art, and a user study.

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Section: Related Workmentioning

confidence: 99%

SRNPD: Spatial rendering network for pencil drawing stylization

Jin

Sheng

et al. 2019

Computer Animation & Virtual

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“…Among large number of pencil drawing generation techniques based on image processing or filtering [12][13][14][15][16][17][18], a major scheme is to use LIC (Line Integral Convolution). LIC is a texture-based flow visualization technique which visualizes a flow field by low-pass filtering a white noise along the local streamlines of the vector field.…”

Section: Pencil Drawing Generationmentioning

confidence: 99%

“…Inspired by the visual similarity between the pencil strokes and the traces of streamlines in LIC image, Mao et al proposed a technique for automatically converting a 2D input image into a pencil drawing by convolving the dithered version of the input image with a vector field defining the directions of strokes [2]. The method has been extended for colored pencil drawing [12] and video [13,14]. Recently, several more works have been done to add further improvements to the original LICbased method [15][16][17].…”

Section: Pencil Drawing Generationmentioning

confidence: 99%

Automatic generation of accentuated pencil drawing with saliency map and LIC

2012

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An artist usually does not draw all the areas in a picture homogeneously but tries to make the work more expressive by emphasizing what is important while eliminating irrelevant details. Creating expressive painterly images with such accentuation effect remains to be a challenge because of the subjectivity of information selection. This paper presents a novel technique for automatically converting an input image into a pencil drawing with such emphasis and elimination effect. The proposed technique utilizes saliency map, a computational model for visual attention, to predict the focus of attention in the input image. A new level of detail controlling algorithm using multi-resolution pyramid is also developed for locally adapting the rendering parameters, such as the density, orientation and width of pencil strokes, to the degree of attention defined by saliency map. Experimental results show that the images generated with the proposed method present the visual effect similar to that of the real pencil drawing and can successfully direct the viewer's attention toward the focus.

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“…We present a swing bilateral LIC (SBL), a convolution‐based approach to control the pencil drawing styles and to resolve some of the problems exhibited by previous convolution‐based schemes. Most of the works using conventional convolution to produce pencil drawing effects [MNI02, YMI04b, YMI04a, YM11] suffer from smeared boundaries, incorrect tone and obscured highlights. The bilateral convolution filter introduced by by Kang et al [KLC09], which was designed for image abstraction, can remedy the listed problems, but it has a limitation in controlling the pencil drawing styles.…”

Section: Introductionmentioning

confidence: 99%

“…In Section 5.1 we contrast the edge tangent flow [YM11], RBF function [HE04], and image parsing [ZZXZ09] techniques which other authors have used to determine stroke direction with our own scheme. Color customization: Most existing pencil drawing schemes are restricted to monochrome. Others [YMI04a, MJN05, MTG05] can produce color, but cannot match the tones of an input photograph successfully. Our scheme samples colors from the input image and uses them to depict objects in detail and in a visually pleasing style.…”

Section: Introductionmentioning

confidence: 99%

A Stylized Approach for Pencil Drawing from Photographs

Yang

Kwon

Min

2012

Computer Graphics Forum

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We present a stylized scheme that produces pencil drawings in a range of styles from an image. To produce controllable pencil drawing effects and remedy the problems of existing convolution‐based schemes, we develop a swing bilateral LIC (SBL) filter. Our first approach to express the styled pencil drawings is to control the directions of pencil strokes that depicts both shapes and smooth tone. Another approach is to produce colors of pencil drawings by sampling colors from real color pencils. The third approach is to mimic the artistic technique that increases the details of drawings in a progressive manner. We present drawings in several styles and compare some of them directly with illustrations taken from an artists' work.

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Colored pencil filter with custom colors

Cited by 22 publications

References 18 publications

SRNPD: Spatial rendering network for pencil drawing stylization

SRNPD: Spatial rendering network for pencil drawing stylization

Automatic generation of accentuated pencil drawing with saliency map and LIC

A Stylized Approach for Pencil Drawing from Photographs

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