[visionlist] Call For Papers: Image Quality and System Performance XVII

Nicolas Bonnier nbonnier at apple.com
Tue Aug 27 15:40:26 -04 2019

Dear all, 

Please consider submitting a paper to the upcoming Image Quality and System Performance XVII before September 30, 2019

A complete list of conference topics and details for submission is found on the conference webpage: bit.ly/EI2020_IQSP <http://bit.ly/EI2020_IQSP>

Conference Overview
We live in a visual world. The perceived quality of images is of crucial importance in industrial, medical, and entertainment application environments. Developments in camera sensors, image processing, 3D imaging, display technology, and digital printing 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 and autonomous vehicles bring image processing into new aspects of society. 

The power of imaging rests directly on the visual quality of the images and the performance of the systems that produce them. As the images are generally intended to be viewed by humans, a deep understanding of human visual perception is key 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 specify the requirements and assess the performance of modern imaging systems. It focuses on 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, virtual, mixed or augmented reality, LDR or HDR.

Conference Hot Topics
Submissions that address image quality aspects in the following are welcome:
	• Automotive imaging 
	• Data analytics and visualization
	• Deep learning for image quality
	• HDR imaging and displays
	• Immersive imaging
	• Light field imaging
	• Medical / diagnostic imaging
	• Scientific imaging

Special Session
Image quality for computer vision versus viewing quality (or QoE)

Best regards,


Nicolas Bonnier 
Display Color & Vision
 Apple | Panel Process & Optics
One Apple Park Way, 924-4IST
Cupertino, CA 95014
nbonnier at apple.com <mailto:nbonnier at apple.com>

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