Directional texture transfer

Lee, Ho-Chang; Seo, Sanghyun; Ryoo, Seung-Taek; Yoon, Kyoungro

doi:10.1145/1809939.1809945

Cited by 74 publications

(26 citation statements)

References 24 publications

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“…The proposed method is also similar to other patchbased image generation techniques such as texture transfer 30,31) , texture synthesis 30,32) , and inpainting 29,[33][34][35] . Although the aims of these techniques are different, the common point is a constraint that similar patterns of local regions overlapping each other should be found in the reference one.…”

Section: )mentioning

confidence: 88%

[Paper] Visible-Light Image Synthesis from Infrared Images Using Texture Transfer

Wakabayashi

Ikeda

Sato

2016

MTA

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We propose a novel method for synthesizing a visible-light image from a near-infrared one taken from the same viewpoint. Generating a multi-channel color image from a single-channel one is generally an ill-posed problem. As texture and color cues, the method refers to visible-light color images of the same scene but taken from a different point. The proposed method focuses on the estimation of the luminance component rather than the chrominance one because chrominance is not sensitive for human vision, and relatively easier to be estimated than luminance. Our cost function to optimize the luminance component is designed with the assumption that the synthesized image should be globally similar to the input infrared image structure and locally similar to the reference image patterns. Our experimental results show that the proposed method produces an artificial visible-light image, whose color appearance is more natural than color conversion methods, and geometrically more accurate than texture transfer-based methods.

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Section: )mentioning

confidence: 88%

[Paper] Visible-Light Image Synthesis from Infrared Images Using Texture Transfer

Wakabayashi

Ikeda

Sato

2016

MTA

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“…Patched-based approaches transfer to an image entire patches or pixels extracted from an exemplar image [Frigo et al, 2016, Lee et al, 2010. ese methods take inspiration from copy-paste methods developed for texture synthesis [Efros and Freeman, 2001, Efros and Leung, 1999, Wang et al, 2004.…”

Section: Related Workmentioning

confidence: 99%

A generic framework for the structured abstraction of images

Faraj

Xia

Delon

et al. 2017

Proceedings of the Symposium on Non-Photorealistic Animation and Rendering

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“…The global smoothness prior enforced in this framework resembles that of Ashikhmin [4]. A recent extension of image analogies incorporates edge orientation to influence patch choice [86], echoing the gradient alignment strategies of SBR algorithms. Stippling patterns have also been learned and applied through example (see Sec.…”

Section: Texture By Analogymentioning

confidence: 99%