Nonlinear Color Transformations in Real Time Using a Video Supercomputer. - Edward F. Kelley; Bruce F. Field; Charles Fenimore (CIC, 1993)

Test patterns and quality metrics for digital video compression. - Charles Fenimore; Bruce F. Field; Craig Van Degrift (Human Vision and Electronic Imaging, 1997)

Visibility thresholds for compression-induced image blocking: measurements and models. - John M. Libert; Charles Fenimore (Human Vision and Electronic Imaging, 1999)

Mosquito noise in MPEG-compressed video: test patterns and metrics. - Charles Fenimore; John M. Libert; Peter Roitman (Human Vision and Electronic Imaging, 2000)

Feasibility Study for the Development of a Motion Imagery Quality Metric. - John M. Irvine 001; Charles Fenimore; David M. Cannon; John Roberts 001; Steven A. Israel; Larry Simon; Charles Watts; James D. Miller; Michelle Brennan; Ana Ivelisse Avilés; Paul F. Tighe; Richard J. Behrens (AIPR, 2004)

Factors affecting development of a motion imagery quality metric. - John M. Irvine 001; Charles Fenimore; David M. Cannon; John Roberts 001; Steven A. Israel; Larry Simon; Charles Watts; James D. Miller; Ana Ivelisse Avilés; Paul F. Tighe; Richard J. Behrens; Donna Haverkamp (Visual Information Processing, 2005)

Perceptual study of the impact of varying frame rate on motion imagery interpretability. - Charles Fenimore; John Irvine 001; David M. Cannon; John Roberts 001; Ana Ivelisse Avilés; Steven Isreal; Michelle Brennan; Larry Simon; James D. Miller; Donna Haverkamp; Paul F. Tighe; Michael Gross (Human Vision and Electronic Imaging, 2006)

Quantifying interpretability for motion imagery: Applications to image chain analysis. - John M. Irvine 001; David M. Cannon; Steven A. Israel; Gary O'Brien; Charles Fenimore; John Roberts 001; Ana Ivelisse Avilés (FUSION, 2007)

Quantifying interpretability for motion imagery with applications to image compression. - John M. Irvine 001; David M. Cannon; Steven A. Israel; Gary O'Brien; Charles Fenimore; John Roberts 001; Ana Ivelisse Avilés (AIPR, 2008)

Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. - Nicholas Petrick; Hyun J. Grace Kim; David A. Clunie; Kristin Borradaile; Robert Ford; Rongping Zeng; Marios A. Gavrielides; Michael F. McNitt-Gray; Charles Fenimore; Z. Q. John Lu; Binsheng Zhao; Andrew J. Buckler (Computer-Aided Diagnosis, 2011)