Abstract:
We propose a new solution to the problem of obtaining a single high-resolution image from multiple blurred, noisy, and undersampled images. Our estimator, derived using t...Show MoreMetadata
Abstract:
We propose a new solution to the problem of obtaining a single high-resolution image from multiple blurred, noisy, and undersampled images. Our estimator, derived using the Bayesian stochastic framework, is novel in that it employs a new hierarchical non-stationary image prior. This prior adapts the restoration of the super-resolved image to the local spatial statistics of the image. Numerical experiments demonstrate the effectiveness of the proposed approach.
Published in: IEEE International Conference on Image Processing 2005
Date of Conference: 14-14 September 2005
Date Added to IEEE Xplore: 14 November 2005
Print ISBN:0-7803-9134-9