Imaging Science Seminar: Color and Image Processing and Computer Vision for Mobile Imaging Processor

Event Image
imaging science seminar cis xiaoyun jiang

Color and Image Processing in Mobile Imaging Processor and Computer Vision for Mobile Imaging Processor

Dr. Xiaoyun Jiang
Principal Engineer/Manager
Qualcomm

Dr. Shuxue Quan
Director of Computer Vision and Augmented Reality
OPPO US Research Center

Register Here for Zoom Link

Color and Image Processing in Mobile Imaging Processor - Dr. Xiaoyun Jiang
Abstract:
The mobile imaging processor, or Image Signal Processor (ISP) such as those integrated within Qualcomm Snapdragon Platform is behind the photography and video recording capabilities on a modern smartphone. Over the last 20 years, mobile imaging grows from a “nice to have” feature to an essential one that penetrates users’ everyday life, which totally replaced pocket cameras and large percentage of digital SLR cameras, more and more sophisticated algorithms are packed into the mobile imaging processor, running on dedicated hardware or programmable processors. In this talk, the key color and image processing blocks in the mobile imaging processor are introduced, including white balance, color correction, gamma correction, noise reduction and Bayer demosaicking and so on.

Speaker Bio:
Dr. Xiaoyun Jiang is a Principal Engineer/Manager in Qualcomm camera system team, and is in charge of camera ISP algorithm development. Her team works on camera ISP algorithm design for premium tier chips, tuning, new sensor supports and essential feature developments. Dr. Jiang received PhD of Imaging Science from Rochester Institute of Technology, and MS & BS from Beijing Institute of Technology.

*****

Computer Vision for Mobile Imaging Processor - Dr. Shuxue Quan
Abstract:
The quality of images produced from modern mobile imaging processor has been steadily improved over the years. In recent years, image analytics is desired for extracting the semantic information of the scene, such as the people and their activities, and the detection, recognition and tracking of other objects of interest. With the advancement of computer vision and machine learning, new intelligent analytical blocks are added into application processor to assist mobile imaging, which makes it possible for heterogeneous processing of objects in an image, ultimately the final picture demonstrates more appealing to the users.

Speaker Bio:
Dr. Shuxue Quan is the director of research on computer vision and augmented reality at OPPO US Research Center where he leads team developing algorithms of SLAM, scene understanding, 3D reconstruction, human computer interaction and computational photography. His team also builds software framework and applications to enable AR on mobile devices and head mounted devices. Before OPPO, he worked at Qualcomm on computer vision, machine learning and mobile camera, after a few other positions at Sony, Micron and Broadcom. Dr. Quan received a PhD of Imaging Science from Rochester Institute of Technology, and MS and BS of Optical Engineering from Beijing Institute of Technology. Dr. Quan has been granted more than 40 international patents and published more than 20 journal or conference papers.

Intended Audience:
Beginners, undergraduates, graduates, experts. Those with interest in the topic.


Contact
Marci Sanders-Arnett
Event Snapshot
When and Where
October 07, 2020
3:30 pm - 4:30 pm
Room/Location: See Zoom Registration Link
Who

This is an RIT Only Event

Interpreter Requested?

No

Topics
imaging science
research