A comparative study between parametric blur estimation methods
نویسندگان
چکیده
In pattern recognition problems, the effectiveness of the analysis depends heavily on the quality of the image to be processed. This image may be blurred and/or noisy and the goal of digital image restoration is to find an estimate of the original image. A fundamental issue in this process is the blur estimation. When the blur is not readily avalaible, it has to be estimated from the observed image. Two main approaches can be found in the literature. The first one identify the blur parameters before any restoration whereas the second one realizes these two steps jointly. We present a comparative study of several parametric blur estimation methods, based on a parametric ARMA modeling of the image, belonging to the first approach. Our purpose is to evaluate the acuracy of the various methods, on which the restoration procedure relies, and their robustness to modeling assumptions, noise, and size of support.
منابع مشابه
Motion Blur : Analysis and Restoration
Motion blur is a phenomenon which is corrupting images when, any motion occurs between the camera viewpoint and the captured scene during the acquisition. Rarely this can be described with a shift invariant operator although this is a common assumption in the literature. In a motion blurred image, the Point Spread Function (PSF) of each pixel is determined by the relative motion between the cam...
متن کاملImproving Super-resolution Techniques via Employing Blurriness Information of the Image
Super-resolution (SR) is a technique that produces a high resolution (HR) image via employing a number of low resolution (LR) images from the same scene. One of the degradations that attenuates performance of the SR is the blurriness of the input LR images. In many previous works in the SR, the blurriness of the LR images is assumed to be due to the integral effect of the image sensor of the im...
متن کاملA Non-uniform Motion Blur Parameter Identification and Restoration using Frequency and Cepstral Domain
A near accurate method for extracting blur parameters from a non-uniformly motion blurred images; in a blind image deconvolution scheme is proposed. In case of a non-uniform motion blur, we should be able to extract both the blur parameters and the combination of their extent fairly accurate, in order to improve the quality of the restored image. Initially, the parameters of the motion blur poi...
متن کاملComparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran
متن کامل
A Generalized Gauss Markov Model for Space Objects in Blind Restoration of Adaptive Optics Telescope Images
This paper introduces a blind method based on Bayesian maximum a posteriori estimation theory for restoring images corrupted by noise and blurred by one or more unknown point spread functions. Image and blur prior information is expressed in the form of parametric generalized Gauss Markov random field models. A method for estimating the GGMRF neighborhood influence parameters is presented, alon...
متن کامل