ABSTRACT:

A method for blind image deblurring is presented. The method only makes weak assumptions about the blurringfilter and is able to undo a wide variety of blurring degradations. To overcome the ill-posedness of the blindimage deblurring problem, the method includes a learning technique which initially focuses on the main edges ofthe image and gradually takes details into account. A new image prior, which includes a new edge detector, is used. The method is able to handle unconstrained blurs, but also allows the use of constraints or of prior information on the blurring filter, as well as the use of filters defined in a parametric manner. Furthermore, it works in both single-frame and multiframe scenarios. The use of constrained blur models appropriate to the problem at hand, and/or of multiframe scenarios, generally improves the deblurring results. Tests performed on monochrome and color images, with various synthetic and real-life degradations, without and with noise, in single-frame and multiframe scenarios, showed good results, both in subjective terms and in terms of the increase of signal to noise ratio (ISNR) measure. In comparisons with other state of the art methods, our method yields better results, and shows to be applicable to a much wider range of blurs.


Did you like this research project?

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


PROJECT TITLE :On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution - 2018ABSTRACT:Blind deconvolution may be a ubiquitous nonlinear inverse downside in applications like wireless
PROJECT TITLE :Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation - 2018ABSTRACT:Joint blind supply separation (J-BSS) is an rising knowledge-driven technique for multi-set information-fusion. In
PROJECT TITLE :Classification Based on Euclidean Distance Distribution for Blind Identification of Error Correcting Codes in Noncooperative Contexts - 2018ABSTRACT:The use of channel code is mandatory in current digital communication
PROJECT TITLE :Blind Stereoscopic Video Quality Assessment From Depth Perception to Overall Experience - 2018ABSTRACT:Stereoscopic video quality assessment (SVQA) may be a challenging drawback. It has not been well investigated
PROJECT TITLE :A Likelihood-Based Algorithm for Blind Identification of QAM and PSK Signals - 2018ABSTRACT:This Project presents a chance-based mostly methodology for automatically identifying totally different quadrature amplitude

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

Project Enquiry