Image Models and Their Role in ImageProcessing
نویسندگان
چکیده
Over the last few years an enormous amount of research has been devoted to restore astronomical images, but not much work has been reported on the use of multichannel techniques to restore such images. In this work, we rst brieey summarize the research carried out on image restoration within the Converging Computing Methodologies network and then concentrate on the multichannel image restoration problem, a eld we believe of interest to the astronomical community. The Bayesian paradigm to restore multichannel astronomical images is described and multichannel image restoration methods are adapted to the Poisson noise degradation model. The methods are compared on real multichannel astronomical images.
منابع مشابه
Image Segmentation using Gaussian Mixture Model
Abstract: Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm. In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact,...
متن کاملIMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL
Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the model have estimated by EM-algorithm. In addition pixel labeling corresponded to each pixel of true image is made by Bayes rule. In fact, ...
متن کاملModeling and Simulation of Traffic Lights on the High Contrast and Brightness Conditions and Structure Technology
Nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. Design and implementation of such controllers requires to actual knowledge of theenvironment conditions. Traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image proces...
متن کاملEvaluation of the role of system matrix in SPECT images reconstructed by OSEM technique
Introduction: Ordered subset expectation maximization (OSEM), is an effective iterative method for SPECT image reconstruction. The aim of this study is the evaluation of the role of system matrix in OSEM image reconstruction method using four different physical beam radiation models with three detection configurations. Methods: SPECT was done with an arc of 180 deg...
متن کاملBlind Quality Assessment of Jpeg2000 Compressed Images Using Natural Scene Statistics
Measurement of image quality is crucial for many imageprocessing algorithms, such as acquisition, compression, restoration, enhancement and reproduction. Traditionally, researchers in image quality assessment have focused on equating image quality with similarity to a ‘reference’ or ‘perfect’ image. The field of blind, or no-reference, quality assessment, in which image quality is predicted wit...
متن کامل