A novel semi-blind defocused image deconvolution technique is proposed, which is based on multivariate local polynomial regression and iterative Wiener filtering. In this technique, firstly a multivariate local polynomial regression model is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF ) parameter, iterative wiener filter is adopted to ...

Ultra-wide-field of view (UWFOV) imaging systems are affected by various aberrations, most of which are highly angle-dependent. A description of UWFOV imaging systems, such as microscopy optics, security camera systems and other special space-variant imaging systems, is a difficult task that can be achieved by estimating the Point Spread Function (PSF) of the system. This paper proposes a novel...

This work presents an algorithm for the local subpixel estimation of the Point Spread Function (PSF) that models the intrinsic camera blur. For this purpose, the Bernoulli(0.5) random noise calibration pattern introduced in a previous article [1] is used. This leads to a well-posed near-optimal accurate estimation. First the pattern position and its illumination conditions are accurately estima...

The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of parameters in Bayesian regularization is equal to minimizing energy of a dataset for a given number of classes. To estimate the point spread function (PSF), a parametric model space is introduced to reduce the searching uncertainty...

When imaging space objects from ground-based telescopes, observed images are degraded by atmospheric blurring. If an accurate estimate of the point spread function (PSF) is known, then deconvolution algorithms can be used to restore the image. Wavefront sensors (WFS) collect gradients of the wavefront, which can then be used to estimate the PSF. However, the relatively coarse grid used by a typ...

Measured and modeled point spread functions (PSF) of sensor systems indicate that a significant portion of the recorded signal of each pixel of a satellite image originates from outside the area represented by that pixel. This hinders the ability to derive surface information from satellite images on a per-pixel basis. In this study, the impact of the PSF of the Moderate Resolution Imaging Spec...

The goal of this work is to develop digital image processing tools for improving the quality of the images provided by the Göttingen transmission X-ray microscope at BESSY [1, 2]. We first present a method for correcting the inhomogeneous illumination. Then, we present results of image restoration techniques applied to X-ray microscopy images of test objects and of biological specimens containi...

The accuracy of depth estimation based on defocus effects has been essentially limited by the depth of field of the imaging system. We show that depth estimation can be improved significantly relative to classical methods by exploiting three-dimensional diffraction effects. We formulate the problem by using information theory analysis and present, to the best of our knowledge, a new paradigm fo...

We present an approach to motion deblurring based on exploiting the information available in two differently exposed images of the same scene. Besides the normal-exposed image of the scene, we assume that a short exposed image is also available. Due to their different exposures the two images are degraded differently: the short exposed image is affected by noise, whereas the normal-exposed imag...