We live in a visual world. The perceived quality of images is of crucial importance in industrial, med- ical, and entertaining application environments. Developments in camera sensors, image processing, 3D imaging, display technology, and digital printing are enabling new or enhanced possibilities for creat- ing and conveying visual content that informs or entertains. Wireless networks and mobile devices ex- pand 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, con- sideration of the role of human visual perception is intrinsic to the effective assessment of image quality.
This conference brings together engineers and scientists from industry and academia who strive to understand what makes a high-quality image and how to assess the requirements and performance of modern imaging systems. It focuses on both objective and subjective methods for evaluating the perceptual quality of images, and includes applications throughout the imaging chain from image capture, through processing, to output, printed or displayed, video or still, 2D or 3D, LDR or HDR.

Conference topics:

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
• system-wide color management for mobile devices
• 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