A class of scaled gradient projection methods for optimization problems with simple constraints is considered. These iterative algorithms can be useful in variational approaches to image deblurring that lead to minimize convex nonlinear functions subject to nonnegativity constraints and, in some cases, to an additional flux conservation constraint. A special gradient projection method is introd...

Today's technology allows butting a few sensor arrays to a high precision in order to capture a twodimensional image of large area. The most serious defect caused by this butting technique is the gap between sub-arrays. This paper proposes an image restoration method to recover the missing data using the information of blur. We claim that by making a reasonable assumption that the blur in real ...

This work deals with unsupervised image deblurring. We present a new deblurring procedure on images provided by lowresolution synthetic aperture radar (SAR) or simply by multimedia in presence of multiplicative (speckle) or additive noise, respectively. The method we propose is defined as a two-step process. First, we use an original technique for noise reduction in wavelet domain. Then, the le...

Motion blur is an ill-posed problem which has been addressed for a long time in digital photographing. It usually happens under the circumstance without enough surrounding light. Several methods have been proposed for this problem. However, the ringing is inevitable artifacts arising in the deconvolution stage. To suppress undesirable artifacts, regularization-based methods have been proposed, ...

In this work, we propose a new approach for efficient edgepreserving image deconvolution. Our algorithm is based on a novel type of explicit image filter guided filter. The guided filter can be used as an edge-preserving smoothing operator like the popular bilateral filter, but has better behaviors near edges. We propose an efficient iterative algorithm with the decouple of deblurring and denoi...

In recent years, research on computational photography has reached important advances in the field of coded apertures for defocus deblurring. These advances are known to perform well for low dynamic range images (LDR), but nothing is written about the extension of these techniques to high dynamic range imaging (HDR). In this paper, we focus on the analysis of how existing coded apertures techni...

This paper proposes using a mosaic image patches composed of the most informative edges found in the original blurry image for the purpose of estimating a motion blur kernel with minimum computational cost. To select these patches we develop a new image analysis tool to efficiently locate informative patches we call the informative-edge map. The combination of patch mosaic and informative patch...

This project tries to apply two different methodologies for image restoration. A previous step, named wavelet denoising is applied before the deblurring algorithm, which is developed using POCS techniques.

Videos acquired in low-light conditions often exhibit motion blur, which depends on the motion of the objects relative to the camera. This is not only visually unpleasing, but can hamper further processing. With this paper we are the first to show how the availability of stereo video can aid the challenging video deblurring task. We leverage 3D scene flow, which can be estimated robustly even u...