Robust Multichannel Blind Deconvolution via Fast Alternating Minimization - 2012


Blind deconvolution, which comprises simultaneous blur and image estimations, is a strongly ill-posed problem. It is by now well known that if multiple images of the same scene are acquired, this multichannel (MC) blind deconvolution problem is better posed and allows blur estimation directly from the degraded images. We improve the MC idea by adding robustness to noise and stability in the case of large blurs or if the blur size is vastly overestimated. We formulate blind deconvolution as an l1 -regularized optimization problem and seek a solution by alternately optimizing with respect to the image and with respect to blurs. Each optimization step is converted to a constrained problem by variable splitting and then is addressed with an augmented Lagrangian method, which permits simple and fast implementation in the Fourier domain. The rapid convergence of the proposed method is illustrated on synthetically blurred data. Applicability is also demonstrated on the deconvolution of real photos taken by a digital camera.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Robust Modulation of PWM-Based Multi-Level Perpendicular Magnetic Recording for Conventional Media - 2018ABSTRACT:During this letter, we propose a sturdy 3-ary modulation for a pulse width modulation (PWM)-based
PROJECT TITLE :Robust Automated VHF Modulation Recognition Based on Deep Convolutional Neural Networks - 2018ABSTRACT:This letter proposes a completely unique modulation recognition algorithm for terribly high frequency (VHF)
PROJECT TITLE :Robust Chance Constrained Power Allocation Scheme for Multiple Target Localization in Colocated MIMO Radar System - 2018ABSTRACT:Taking into consideration the probabilistic uncertainty on the target radar cross
PROJECT TITLE :A Robust Parallel Algorithm for Combinatorial Compressed Sensing - 2018ABSTRACT:It was shown in previous work that a vector x E R n with at most k
PROJECT TITLE :Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model - 2018ABSTRACT:Low-light image enhancement ways based on classic Retinex model try to govern the estimated illumination and to project it

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry