Title : 
Estimating distortion in a binary symmetric channel consistently
         
        
        
            Author_Institution : 
Dept. of Stat., North Carolina Univ., Chapel Hill, NC, USA
         
        
        
        
        
            fDate : 
9/1/1991 12:00:00 AM
         
        
        
        
            Abstract : 
The problem of estimating the distortion in a binary symmetric channel is examined. A consistent estimator is described, and its performance is assessed numerically. The estimator is based solely on the information contained in the channel output. The channel input is viewed as an unobservable nuisance parameter that satisfies a weak basic assumption that (1) makes the problem of estimation viable, and (2) seems swell suited for use in an imaging context, under which the input is viewed as the true image and the output is viewed as the observed image
         
        
            Keywords : 
information theory; parameter estimation; telecommunication channels; binary symmetric channel; consistent estimator; distortion estimation; imaging context; unobservable nuisance parameter; Bayesian methods; Context modeling; Distortion measurement; Entropy; Statistics;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on