Fast maximum entropy restoration of low-noise solar images
نویسندگان
چکیده
Maximum Entropy (ME) deconvolution has become a widely used approach for image restoration. Although it has many attractive features, its computational burden is considerably larger than for competing linear inversion techniques. The present work accelerates ME restoration by using linear techniques within theME framework and proposes a simple and fast algorithmwhich is applicable to low-noise (< 3%) images. The algorithm is tested in numerical simulations, compared to wellknown algorithms and applied to solar radio maps obtained by a scanning antenna.
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