Abstract

A method for decomposing shading and reflectance components from a color texture image is presented. The shading intensity of each pixel is either computed or synthesized according to its characteristics, and the reflectance is consequently decomposed, with additional denoising when necessary. The performance of the proposed method is evaluated using real color texture images.

© 2008 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Intrinsic decomposition from a single spectral image

Xi Chen, Weixin Zhu, Yang Zhao, Yao Yu, Yu Zhou, Tao Yue, Sidan Du, and Xun Cao
Appl. Opt. 56(20) 5676-5684 (2017)

Facilitation of shape-from-shading perception by random textures

Ko Sakai, Kazuki Narushima, and Natsuko Aoki
J. Opt. Soc. Am. A 23(8) 1805-1813 (2006)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (8)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription