• Title/Summary/Keyword: watercolor effect

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Developing textile design having watercolor effect and woven texture using Photoshop for Transfer Digital Textile Printing(DTP)

  • Kim, Sin-Hee
    • Journal of Fashion Business
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    • v.13 no.6
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    • pp.89-98
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    • 2009
  • Computer development and new printing technology allow us to express a new type of digital textile designs those were not possible in the past. In this study, watercolor overlaying effect of various colors was tried using airbrush tool in Photoshop program. Photoshop program is a powerful graphic tool and can be used in textile design area to generate various types of designs. Woven texture was also applied to the design to give yarn dyed effects or rich appearance. Photoshop program was also used to develop woven texture without the help of the professional textile CAD. Photoshop channels enables the designers to apply various textures to the image. Plain weave and houndstooth were applied in this study. Colorways of the developed designs having watercolor effect and woven texture by applying Photoshop color adjustment function. Quick and simultaneous changes of colors were possible using this method. The developed textile designs were printed by transfer DTP. Successful textile design prints were expressed and showed watercolor overlaying effect and woven texture. The printed textiles show a little brighter color, and therefore, sample printing is recommendable in case of color sensitive production.

Smartphone Based Retouching Method for Watercolor Painting Effect Using Mean Shift Segmentation (Mean Shift Segmentation을 이용한 스마트폰 기반의 수채화 효과 변환 기법)

  • Lee, Sang-Geol;Kim, Cheol-Ki;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.11
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    • pp.2413-2418
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    • 2010
  • We propose a retouching method that converts a photography taken by smartphone to a watercolor painting image using bilateral filtering and mean shift segmentation which are mostly used in image processing. The first step is to convert an input image to fit the screen resolution of smartphone. And next step is to weaken high frequency components of the image, while preserving the edge of image using the bilateral filtering. And after that we perform mean shift segmentation from the bilateral filtered image. We apply parameters of mean shift segmentation considering the processing speed of smartphone. Experimental result shows that our method can be applied to various types of image and bring better result.

Retouching Method for Watercolor Painting Effect Using Mean Shift Segmentation (Mean Shift Segmentation을 이용한 수채화 효과 생성 기법)

  • Lee, Sang-Geol;Kim, Cheol-Ki;Cha, Eui-Young
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.9
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    • pp.25-33
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    • 2010
  • We propose a retouching method that converts a general photography to a watercolor painting image using bilateral filtering and mean shift segmentation which are mostly used in image processing. The first step is to weaken high frequency components of the image, while preserving the edge of image using the bilateral filtering. And after that we perform DoG(Difference of Gradient) edge extraction and mean shift segmentation respectively from the bilateral filtered image. The DoG edge extraction is performed using luminance component of the image whose RGB color space is transformed into CIELAB space. Experimental result shows that our method can be applied to various types of image and bring better result, especially against the photo taken in daylight.

Smartphone Based Retouching Method for Watercolor Painting Effect Using Mean Shift Segmentation (Mean Shift Segmentation을 이용한 스마트폰 기반의 수채화 효과 변환 기법)

  • Lee, Sang-Geol;Kim, Cheol-Ki;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.206-208
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    • 2010
  • We propose a retouching method that converts a photography taken by smartphone to a watercolor painting image using bilateral filtering and mean shift segmentation which are mostly used in image processing. The first step is to convert an input image to fit the screen resolution of smartphone. And next step is to weaken high frequency components of the image, while preserving the edge of image using the bilateral filtering. And after that we perform mean shift segmentation from the bilateral filtered image. We apply parameters of mean shift segmentation considering the processing speed of smartphone. Experimental result shows that our method can be applied to various types of image and bring better result.

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