A generalized adaptive gradient descent algorithm for the deconvolution of noisy blurred images

D. Zhu; M. Razaz; R. Lee

A generalized adaptive gradient descent algorithm for the deconvolution of noisy blurred images

D. Zhu, M. Razaz, R. Lee

School of Computing Sciences

Research output: Contribution to conference › Paper

Original language	English
Pages	789-792
Number of pages	4
Publication status	Published - Sept 2003
Event	5th International Conference On Computer Vision, Pattern Recognition and Image Processing, Proc. of JICS - Cary, United States Duration: 26 Sept 2003 → 30 Sept 2003

Conference

Conference	5th International Conference On Computer Vision, Pattern Recognition and Image Processing, Proc. of JICS
Country/Territory	United States
City	Cary
Period	26/09/03 → 30/09/03

Cite this

@conference{9ad2a5b977594cebbd1810b7ea3e9da5,

title = "A generalized adaptive gradient descent algorithm for the deconvolution of noisy blurred images",

author = "D. Zhu and M. Razaz and R. Lee",

year = "2003",

month = sep,

language = "English",

pages = "789--792",

note = "5th International Conference On Computer Vision, Pattern Recognition and Image Processing, Proc. of JICS ; Conference date: 26-09-2003 Through 30-09-2003",

}

TY - CONF

T1 - A generalized adaptive gradient descent algorithm for the deconvolution of noisy blurred images

AU - Zhu, D.

AU - Razaz, M.

AU - Lee, R.

PY - 2003/9

Y1 - 2003/9

M3 - Paper

SP - 789

EP - 792

T2 - 5th International Conference On Computer Vision, Pattern Recognition and Image Processing, Proc. of JICS

Y2 - 26 September 2003 through 30 September 2003

ER -