We live in a visual world where images have tremendous power. They can efficiently convey information, trigger emotion, and entertain. Because of this power, imaging systems have been developed to serve many applications from marketing to security, from medicine to entertainment. Traditional imaging systems evolve and create opportunities for new applications. Traditional printing goes digital. Traditional display technology goes 3D. The power of images rests directly on the quality of the images and the systems that produce them. This conference brings together industrial and academic engineers and scientists who strive to understand what makes a quality image and how to assess the requirements and performance of modern imaging systems. We include applications throughout the imaging chain including image capture, processing, and output, whether print or display. Abstracts are welcome which describe recent developments in the following and related areas:

Image quality attributes characterization and measurement

* advances in perceptual image quality understanding
* color and spatial attribute characterization and metrics
* interactions between, or integration of, image quality attributes
* image defect perception, classification and simulation
* tools and instrumentation to quantify visual attributes
* digital versus analogue techniques

Subjective image quality evaluation

* psychophysical scaling, modeling and metrics
* preference measurement and modeling
* image quality survey design and analysis (traditional or web-based)
* vision based modeling of image quality perception
* multimedia system evaluations
* applications of subjective evaluation methods

Image quality evaluation for emerging technologies

* readability of electronic paper, mobile display, and signage
* image quality analysis of viewing experiences for head mounted display, 3D display, gaming, and digital cinema
* image quality evaluation for usability (e.g. medical imaging, automotive vision, and remote sensing)

System performance measurement and modeling

* linking perceptual image quality to system performance parameters
* advances in image acquisition, sampling and encoding
* extraction of image quality measures from digital images
* measurement of print and display microstructure (dots, edges, color, resolution, distortion, etc.)
* technology dependent characterization (banding, streaking, defective pixels, etc)
* image noise analysis and color error propagation
* quantitative metrics for imaging device performance
* methods for system performance benchmarking
* balancing image quality against cost, features and reliability
* statistical methods for system performance specification

Image quality standards for capture, print, and display

* emerging standards for image quality
* performance of existing and proposed standards
* poorly defined or ambiguous attributes that would benefit from standardization.