| |||||||||||||
IQSP 2014 : Image Quality and System Performance XI | |||||||||||||
Link: http://www.spie.org/ei106 | |||||||||||||
| |||||||||||||
Call For Papers | |||||||||||||
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. |
|