We live in a visual world. The perceived quality of images is of crucial importance in industrial, medical and entertaining application environments. Developments in digital printing, flat panel displays, camera sensors, image processing power, and 3D imaging are enabling new or enhanced possibilities for creating and conveying visual content that informs or entertains. Wireless networks and mobile devices expand the ways to share imagery.

The power of imaging rests directly on the visual quality of the images and the systems that produce them. As the images are generally intended to be viewed by humans, consideration of the role of human visual perception is intrinsic to the effective assessment of image quality.

This conference brings together industrial and academic engineers and scientists who strive to understand what makes a high quality image and how to assess the requirements and performance of modern imaging systems. We focus on both objective and subjective methods for evaluating the perceptual quality of images. We include applications throughout the imaging chain from image capture, through processing, and on to output, whether printed or displayed, whether video or still images, whether 2D or 3D. We welcome abstracts describing recent developments in the following and related areas:

Image quality objective and subjective evaluation
image quality attributes characterization and metrics
psychophysical testing and scaling
integration of image quality attributes, pooling of metrics
image preference measurement and modeling
tools and instrumentation to quantify visual attributes
image quality and saliency, scene dependency
design of analytical test targets
development of test image databases with perceptual reference data
image quality survey design (print, web-based, mobile)
advances in perceptual image quality understanding
vision based modeling of image quality perception
image quality and image aesthetics
quality of (multimedia) experience
System performance measurement and modeling
linking perceptual image quality to system performance parameters
extraction of image quality measures from digital images
MTF, rendering of fine detail and perception of sharpness
gamut size, color rendering, ICC profile evaluation
image noise analysis and color error propagation
image artifact perception, evaluation and simulation
metrics for imaging device performance
methods for competitive benchmarking, quality assurance
multi-media and cross-media system evaluations
task-oriented image quality evaluation (e.g. medical, imaging, automotive vision, and remote sensing)
readability of electronic paper and mobile display
balancing image quality against cost, features and reliability
Standards for image quality and system performance
mobile imaging performance
video imaging performance
3D representation, 3D displays, 2.5 and 3D printing
medical and forensic imaging
measurement of print and display microstructure (dots, edges, color, resolution, distortion, etc.)
image artifact characterization (banding, streaking, defective pixels, etc)
statistical methods for system performance specification
The committee will review all submitted abstracts and feedback will be sent to the authors.

A Best Student Paper Award will be given again in 2014.