Non-Photorealistic Computer Graphics Library

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Found 12 item(s) authored in "1997".
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Proceedings Calligraphic Character Synthesis using Brush Model
Horace H. S. Ip, Helena T. F. Wong.
Computer Graphics International, pp. 13, Hasselt and Diepenbeek, Belgium, June 23 - 27, 1997. [BibTeX]

Proceedings Computer-Generated Watercolor
Cassidy J. Curtis, Sean E. Anderson, Joshua E. Seims, Kurt W. Fleischer, David H. Salesin.
Proceedings of the 24th annual conference on Computer graphics and interactive techniques (SIGGRAPH'97), pp. 421--430, New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., 1997. [BibTeX]

Proceedings daLi! - Drawing Animated Lines!
Maic Masuch, Stefan Schlechtweg, Bert Schönwälder.
Simulation and Animation '97, pp. 87--95, SCS Europe, Magdeburg, 1997. [BibTeX]

Misc Digital Paint Systems: Historical Overview
Alvy Ray Smith.
Tech Memo 14, May 30, 1997. [BibTeX]

PhD Thesis Image-Based Pen-and-Ink Illustration
Michael P. Salisbury.
Department of Computer Science and Engineering, University of Washington, Seattle, 1997. [BibTeX]

Proceedings Lines and How to Draw Them
Stefan Schlechtweg.
Norsk samarbeid innen grafisk databehandling, No. 2/97, pp. 4--6, 1997. [BibTeX]

Proceedings Multiperspective Panoramas for Cel Animation
Daniel Wood, Adam Finkelstein, Craig E. Thayer, John F. Hughes, David H. Salesin.
SIGGRAPH '97, pp. 243--250, Aug, 1997. [BibTeX]

Proceedings Orientable Textures for Image-Based Pen-and-Ink Illustration
Michael P. Salisbury, Michael Wong, John F. Hughes, David H. Salesin.
SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp. 401--406, New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., 1997. [BibTeX]

Article Painting-like Image Emphasis based on Human Vision Systems

Author(s): Toshimitsu Tanaka, Noboru Ohnishi.
Article: Computer Graphics Forum, Vol. 16, No. 3, September, 1997.
[BibTeX] Find this paper on Google

Abstract:
Regional image emphasis is often evident in paintings and illustrations. This technique increases local contrast while reducing global contrast by amplifying image intensity on shadowed surfaces, reducing intensity on illuminated surfaces, and then expanding contrast at intensity edges. The effects are assumed to result from the visual processing needed to interpolate the real world onto canvas. Therefore, we propose an intensity emphasis method based on human vision. This method simulates the adaptation of photoreceptor cells and the lateral inhibition of receptive fields. These attributes of a vision system are realized by computation of relative intensity and differential intensity in small areas. The proposed method can successfully generate painting-like artifacts, which greatly improves the perception of visual elements displayed in an image. Since the method efficiently reduces the dynamic range of images, it can be used for displaying highlighted images on standard graphic monitors. Experiments on a computer-generated image and a photograph confirm the advantages of our method.


Proceedings Processing images and video for an impressionist effect
Peter C. Litwinowicz.
SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp. 407--414, New York, NY, USA, ACM Press/Addison-Wesley Publishing Co., 1997. [BibTeX]

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