Blind image deconvolution by recursive function approximation

碩士 === 國立東華大學 === 應用數學系 === 97 === In this paper, we explore blind image deconvolution by recursive function approximation based on supervised learning of neural networks, under the assumption that a degraded image is linear convolution of an original source image through a linear shift-invariant (L...

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Bibliographic Details
Main Authors: Hsiao-Chang Chen, 陳孝昌
Other Authors: Jiann-Ming Wu
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/92347955650595923069