Article ID Journal Published Year Pages File Type
455488 Computers & Electrical Engineering 2012 10 Pages PDF
Abstract

This paper proposes a probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. The proposed formulation is based on a theoretical analysis that compares denoising and deblurring in the same probabilistic framework, and supported by a practical approach that deal with general motion that creates HDR images in the presence of spatially varying motion. Based on this formulation, a new algorithm for deblurring a noisy and blurry image pair is presented. Besides, we provide also an approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging.

Graphical abstract(a, b) Tone mapped image of (a); (c) Our output; (d) The ground truth for comparison.Figure optionsDownload full-size imageDownload as PowerPoint slideHighlights► A probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. ► A new algorithm for deblurring a noisy and blurry image pair. ► An approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging.

Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
Authors
,