Fast Bayesian blind deconvolution with Huber Super Gaussian priors
نویسندگان
چکیده
منابع مشابه
Bayesian Blind Deconvolution with General Sparse Image Priors
We present a general method for blind image deconvolution using Bayesian inference with super-Gaussian sparse image priors. We consider a large family of priors suitable for modeling natural images, and develop the general procedure for estimating the unknown image and the blur. Our formulation includes a number of existing modeling and inference methods as special cases while providing additio...
متن کاملBinary Classification of an Unknown Object through Atmospheric Turbulence Using a Polarimetric Blind-Deconvolution Algorithm Augmented with Adaptive Degree of Linear Polarization Priors THESIS
In this research, an improved binary material-classification algorithm is developed to discriminate between metals and dielectrics using passive polarimetric imagery degraded by atmospheric turbulence. The technique implements a modified version of an existing polarimetric blind-deconvolution algorithm in order to remove atmospheric distortion and correctly classify the unknown object. The clas...
متن کاملBayesian Blind Deconvolution of Images Comparing Jmap, Em and Bva with a Student-t a Priori Model
Blind image deconvolution consists in restoring a blurred and noisy image when the point spread function of the blurring system is not known a priori. This inverse problem is ill-posed and need prior information to obtain a satisfactory solution. Regularization methods, well known, for simple image deconvolution is not enough. Bayesian inference approach with appropriate priors on the image as ...
متن کاملBayesian Blind Deconvolution of sparse images with a Student-t a priori model
Blind image deconvolution consists in restoring a blurred and noisy image when the point spread function of the blurring system is not known a priori. This inverse problem is ill-posed and need prior information to obtain a satisfactory solution. Regularization methods, well known, for simple image deconvolution is not enough. Bayesian inference approach with appropriate priors on the image as ...
متن کاملFast Single Image Super-Resolution
This paper addresses the problem of single image super-resolution (SR), which consists of recovering a high resolution image from its blurred, decimated and noisy version. The existing algorithms for single image SR use different strategies to handle the decimation and blurring operators. In addition to the traditional first-order gradient methods, recent techniques investigate splitting-based ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Digital Signal Processing
دوره 60 شماره
صفحات -
تاریخ انتشار 2017