Mobile image based color correction using deblurring
|dc.identifier.citation||Wang, Y. and Xu, C. and Boushey, C. and Zhu, F. and Delp, E. 2015. Mobile image based color correction using deblurring, in Proceedings of the IS&T-SPIE Electronic Imaging Symposium: Computational Imaging XIII, Feb 10-11 2015, Volume 9401: Paper 940107. San Francisco, CA, USA: SPIE.|
Dietary intake, the process of determining what someone eats during the course of a day, provides valuable insights for mounting intervention programs for prevention of many chronic diseases such as obesity and cancer. The goals of the Technology Assisted Dietary Assessment (TADA) System, developed at Purdue University, is to automatically identify and quantify foods and beverages consumed by utilizing food images acquired with a mobile device. Color correction serves as a critical step to ensure accurate food identification and volume estimation. We make use of a specifically designed color checkerboard (i.e. a fiducial marker) to calibrate the imaging system so that the variations of food appearance under different lighting conditions can be determined. In this paper, we propose an image quality enhancement technique by combining image de-blurring and color correction. The contribution consists of introducing an automatic camera shake removal method using a saliency map and improving the polynomial color correction model using the LMS color space.
|dc.title||Mobile image based color correction using deblurring|
|dcterms.source.title||Proceedings of SPIE - The International Society for Optical Engineering|
|dcterms.source.series||Proceedings of SPIE - The International Society for Optical Engineering|
|curtin.department||School of Public Health|
|curtin.accessStatus||Fulltext not available|
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