caa a22 4500 606205381 CHVBK 20210128101007.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00034-014-9956-5 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9956-5 Bayesian Fusion of Ensemble of Multifocused Noisy Images [Elektronische Daten] [Fatema Jhohura, Tamanna Howlader, S. Rahman] This paper addresses the problem of simultaneous fusion and denoising of an ensemble of multifocused noisy source images using statistical approach. The central theme of the paper is to develop a novel generalized Bayesian framework based on maximum a posteriori (MAP) estimation technique to obtain the fused image from the noisy observations using a multiscale wavelet transform. A mathematically tractable multivariate a priori function is used in the MAP estimator to derive the closed-form expression of the fusion rule for the wavelet coefficients of noisy images. Experiments are carried out on a number of test-sets having an ensemble of multifocused source images with varying noise strengths to evaluate the performance of the proposed MAP-based fusion method as compared to the existing methods. Results show that the performance of the proposed method is better than that of the other wavelet or principal component analysis-based methods in terms of various metrics such as the structural similarity, peak signal-to-noise ratio and cross-entropy, uses of which are common both in the areas of fusion and denoising. In addition, the proposed method yields excellent results in terms of visual quality even in the case of non-Gaussian noise as well as computational load. Springer Science+Business Media New York, 2014 Bayesian estimation nationallicence Ensemble image fusion nationallicence Multivariate probability density function nationallicence Wavelet transform nationallicence Jhohura Fatema Institute of Statistical Research and Training, Dhaka University, 1000, Dhaka, Bangladesh aut Howlader Tamanna Institute of Statistical Research and Training, Dhaka University, 1000, Dhaka, Bangladesh aut Rahman S. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, 1000, Dhaka, Bangladesh aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/7(2015-07-01), 2287-2308 0278-081X 34:7<2287 2015 34 34 https://doi.org/10.1007/s00034-014-9956-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9956-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jhohura Fatema Institute of Statistical Research and Training, Dhaka University, 1000, Dhaka, Bangladesh aut NATIONALLICENCE 700 1- Howlader Tamanna Institute of Statistical Research and Training, Dhaka University, 1000, Dhaka, Bangladesh aut NATIONALLICENCE 700 1- Rahman S. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, 1000, Dhaka, Bangladesh aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/7(2015-07-01), 2287-2308 0278-081X 34:7<2287 2015 34 34