Spectral imaging of human portraits and image quality

Show simple item record

dc.contributor.advisor Fairchild, Mark
dc.contributor.advisor Granger, Edward
dc.contributor.advisor Berns, Roy
dc.contributor.advisor Imai, Francisco
dc.contributor.author Sun, Qun
dc.date.accessioned 2012-10-23T18:40:40Z
dc.date.available 2012-10-23T18:40:40Z
dc.date.issued 2003-07
dc.identifier.uri http://hdl.handle.net/1850/15387
dc.description.abstract This dissertation addresses the problem of capturing spectral images for human portraits and evaluating image quality of spectral images. A new spectral imaging approach is proposed in this dissertation for spectral images of human portraits. Thorough statistical analysis is performed for spectral reflectances from various races and different face parts. A spectral imaging system has been designed and calibrated for human portraits. The calibrated imaging system has the ability to represent not only the facial skin but also the spectra of lips, eyes and hair from various races as well. The generated spectral images can be applied to color-imaging system design and analysis. To evaluate the image quality of spectral imaging systems, a visual psychophysical image quality experiment has been performed in this dissertation. The spectral images were simulated based on real spectral imaging system. Meaningful image quality results have been obtained for spectral images generated from different spectral imaging systems. To bridge the gap between the physical measures and subjective visual perceptions of image quality, four image distortion factors were defined. Image quality metrics were obtained and evaluated based statistical analysis and multiple analysis. The image quality metrics have high correlation with subjective assessment for image quality. The image quality contribution of the distortion factors were evaluated. As an extension of the work other researchers in MCSL have initiated, this dissertation research will, working with other researchers in MCSL, put effort to build a publicly accessible database of spectral images, Lippmann2000. en_US
dc.language.iso en_US en_US
dc.subject Color reproduction en_US
dc.subject Image quality en_US
dc.subject Imaging science en_US
dc.subject Spectral imaging en_US
dc.subject.lcc TK8315 .S86 2003
dc.subject.lcsh Imaging systems en_US
dc.subject.lcsh Spectrum analysis--Research en_US
dc.subject.lcsh Imaging systems--Image quality en_US
dc.subject.lcsh Images, Photographic--Technical innovations en_US
dc.title Spectral imaging of human portraits and image quality en_US
dc.type Dissertation en_US
dc.description.college College of Science en_US
dc.description.department Chester F. Carlson Center for Imaging Science en_US

Files in this item

Files Size Format View
QSunThesis07-2003.pdf 27.73Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

Search RIT DML


Advanced Search

Browse