Convolution is a common process in signal and image processing. In many applications
such as clinical applications and optical imaging, the observed data is distorted by
convolution. To recover the desired information from the distorted data, we need to reverse
the convolution process, ie perform deconvolution. Deconvolution is an ill-posed process.
Regularization is necessary to stabilize the solution. Different kinds of problems require
different regularizations. In this thesis, we focus on the study of deconvolution algorithms …