Dr. Edul N. Dalal
Principal Scientist at Xerox Corp
SPIE Involvement:
Author | Instructor
Publications (13)

PROCEEDINGS ARTICLE | January 25, 2012
Proc. SPIE. 8293, Image Quality and System Performance IX
KEYWORDS: Principal component analysis, Sensors, Calibration, Error analysis, Computer programming, Clouds, Printing, Measurement devices, Color centers, CMYK color model

PROCEEDINGS ARTICLE | January 19, 2009
Proc. SPIE. 7242, Image Quality and System Performance VI
KEYWORDS: Statistical analysis, Visualization, Imaging systems, Optical inspection, Printing, Image quality, Electrophotography, Standards development, Inkjet technology, Image quality standards

PROCEEDINGS ARTICLE | January 19, 2009
Proc. SPIE. 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications
KEYWORDS: Fluctuations and noise, Visualization, Image segmentation, Image processing, Photography, Printing, Image quality, Color difference, System integration, Color management

PROCEEDINGS ARTICLE | January 28, 2008
Proc. SPIE. 6808, Image Quality and System Performance V
KEYWORDS: Imaging systems, Spatial filters, Scanners, Linear filtering, Printing, Image quality, Image filtering, Quality systems, Standards development, Image quality standards

PROCEEDINGS ARTICLE | January 28, 2008
Proc. SPIE. 6808, Image Quality and System Performance V
KEYWORDS: Roads, Statistical analysis, Data modeling, Imaging systems, Error analysis, Heart, Diagnostics, Printing, Image quality, Statistical modeling

PROCEEDINGS ARTICLE | January 28, 2008
Proc. SPIE. 6808, Image Quality and System Performance V
KEYWORDS: Visualization, Calibration, Image processing, Quality measurement, Printing, Image quality, Quantization, Standards development, Inkjet technology, Image quality standards

Showing 5 of 13 publications
Course Instructor
SC682: An Introduction to the Science and Technology of Image Quality of Printing Systems
Image quality is, ultimately, a measure of preference, a very subjective phenomenon. This tutorial will explore the quantitative analysis of image quality of digital color printing systems, using established scientific principles where possible and ad hoc empiricism where necessary, to find the relationships between physical measurements, human perception, and preference. The basic properties of the human visual system will be discussed, in particular the sensitivity to color and spatial frequency, which are critical to determining human perception of image quality defects. Application of such a representation of human vision to development of objective metrics for selected image quality defects will be illustrated. A system for classifying overall image quality in terms of a set of image quality attributes will be presented and analyzed, and emerging standards on perceptual image quality of printed images, based on this system, will be reviewed.
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