Convex and non-convex optimization methods in image processing

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Convex and non-convex optimization methods in image processing

수리과학부 0 457
구분 수학강연회
일정 2017-04-13(목) 16:00~17:00
세미나실 129동 101호
강연자 Michael Ng (Hong Kong Baptist University)
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기타
In this talk, we discuss some results of convex and non-convex optimization methods in image processing. Examples including image colorization, blind decovolution and impulse noise removal are presented to demonstrate these methods. Their advantages and disadvantages of using these methods are also illustrated.

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