Noise estimation in real world video signals and its integration into noise reduction

The project is about removing noise from video signals, for example,

those taken by a professional cinema camera. In this project, we propose to develop a

commercially capable noise reduction framework based on one of our patents to noise

reduction. A commercial noise reduction is required to automatically recognize the type of

noise piesent in the input video signal. Then it should adapt the way the noise reduction is

done to this recognized type of noise. Also a noise reducer should work on both gray-scale

and color images and be capable to accept input image from different color spaces (for

example, RGB or YUV). Finally, a commercial noise reducer should be effective on images of

different numerical precision such as 8-bits or 16-bits. Our proposal outline how we plan to

achieve such a commercial noise reducer.

Faculty Supervisor:

Aishy Amer

Student:

Partner:

Dolby Canada;TandemLaunch Inc

Discipline:

Computer science

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Government

International

Load More

International

Load More