Non-photorealistic rendering for high dynamic range images

Jiajun Lu, Fangyan Dong, Kaoru Hirota

Research output: Contribution to conferencePaperpeer-review

Abstract

To mimic visual perception of human painters, a non-photorealistic rendering (NPR) method based on strokes is proposed for rendering high dynamic range images (HDR). It enables smooth guidance of the strokes generated in the rendering process on account of the improvement in computing the gradient values especially in the regions that have particularly high or low luminance values. Experimental results show that angles of gradient values obtained from HDR images have a reduction in the averaged error of up to 57.5% in comparison to that of conventional digital images. A partial experiment on incorporating HDR images into other NPR styles such as dithering shows the wide compatibility of HDR images in providing the source information for a NPR process.

Original languageEnglish
Publication statusPublished - 2012
Externally publishedYes
Event5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012 - Sapporo, Japan
Duration: 20 Aug 201223 Aug 2012

Conference

Conference5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012
Country/TerritoryJapan
CitySapporo
Period20/08/1223/08/12

Keywords

  • High Dynamic Range
  • Image Processing
  • Non-Photorealistic
  • Rendering

Fingerprint

Dive into the research topics of 'Non-photorealistic rendering for high dynamic range images'. Together they form a unique fingerprint.

Cite this