Non-photorealistic rendering for high dynamic range images

Jiajun Lu, Fangyan Dong, Kaoru Hirota

科研成果: 会议稿件论文同行评审

摘要

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.

源语言英语
出版状态已出版 - 2012
已对外发布
活动5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012 - Sapporo, 日本
期限: 20 8月 201223 8月 2012

会议

会议5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012
国家/地区日本
Sapporo
时期20/08/1223/08/12

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