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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/92347955650595923069 |