Atomic Force Microscopy (AFM) has been widely used in the material and life sciences and has enabled much progress in nanotechnology since it was invented. AFM relies on inter-atomic forces to form a topographical map of a sample surface. Depending on the surface type, it is possible to achieve atomic resolution. However, due to either the microscope design and operation mode or external enviro...

In this paper, we present an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks (CNNs). As face images are highly structured and share several key semantic components (e.g., eyes and mouths), the semantic information of a face provides a strong prior for restoration. As such, we propose to incorporate global semantic priors as in...

Face analysis is a core part of computer vision, in which remarkable progress has been observed in the past decades. Current methods achieve recognition and tracking with invariance to fundamental modes of variation such as illumination, 3D pose, expressions. Notwithstanding, a much less standing mode of variation is motion deblurring, which however presents substantial challenges in face analy...

We study two scenarios of limited-angle binary tomography with data distorted with an unknown convolution: Either the projection data are taken from a blurred object, or the projection data themselves are blurred. These scenarios are relevant in case of scattering and due to a finite resolution of the detectors. Assuming that the unknown blurring process is adequately modeled by an isotropic Ga...

Light&Efficient&Flutter&Shutter& ! Moshe!Ben)Ezra! August!2012! ! ! Abstract& ! Flutter! shutter! is! technique! in! which! the! exposure! is! chopped! into! segments! and! light! is! only! integrated!part!of! the! time.!By! carefully! selecting! the! chopping! sequence! it! is!possible! to!better! condition! the! data! for! reconstruction! problems! such! as!motion! deblurring,! focal! sweepin...

This paper presents the performance analysis of the LPG-PCA algorithm in deblurring of medical images. Medical images containing lot of information which are often affected by noise and artifacts, which leads to the inefficient diagnosis. LPG-PCA which is a statistical decorrelation technique is found to be one of the efficient methods which could be used in improving the performance of medical...

Image deblurring and denoising are the fundamental problems generally arise in the field of image processing with several applications. This paper presents both areas of image restoration. Image deblurring and denoising methods are most commonly designed for removal of both impulsive noise and Gaussian noise. Impulsive noise is a most common noise which affects the image quality during image ac...

We present a deblurring method for scenes with occluding objects using a carefully designed layered blur model. Layered blur model is frequently used in the motion deblurring problem to handle locally varying blurs, which is caused by object motions or depth variations in a scene. However, conventional models have a limitation in representing the layer interactions occurring at occlusion bounda...