Deconvolution and Sparse Representation Image Restoration
Deconvolution and sparse representation are the two key areas in image and signal processing. In this thesis the classical image restoration problem is addressed using these two modalities. Image restoration, such as deblurring, dnoising, and in-painting belongs to the class of ill-posed linear inverse problems, which requires a proper regularization for a credible solution. The aim is to develop techniques that are stable, practical and require a minimum...[Show more]
|Collections||Open Access Theses|
|Hanif_Thesis_2015.pdf||3.57 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.