Restoration and enhancement of astronomical images using hybrid adaptive nonlinear complex diffusion-based filter

Rajeev Srivastava

doi:10.14429/dsj.62.1297

Rajeev Srivastava Institute of Technology Banaras Hindu University (IT BHU)

DOI: https://doi.org/10.14429/dsj.62.1297

Keywords: Restoration and enhancement, astronomical images, PDE-based filters, adaptive nonlinear complex diffusion, adaptive anisotropic diffusion, hybrid diffusion-based adaptive scheme, performance comparison.

Abstract

In this paper, a hybrid and adaptive nonlinear complex diffusion based technique is proposed for restoration and enhancement of astronomical images corrupted with additive noise due to diffractions limit, aberrations in telescope camera lens, atmospheric irregularities which are modelled by Gaussian functions. In addition to additive noise removal, the proposed filter is also capable of removing noisy stars and spike noises due to other numerous stars that may have surrounded an object in the astronomical image such as in nebula images. The proposed scheme is completely adaptive in nature in the sense that it estimates all the required filtering parameters from the observed image itself. The performance of the proposed hybrid scheme is compared with other image restoration techniques such as averaging filter, Gaussian filter, median filter, anisotropic diffusion based filter, local variance based adaptive anisotropic diffusion filter and also the adaptive and hybrid version of anisotropic diffusion filter similar to the proposed one in terms of average SNR and BSNR. The results obtained show the efficacy of the proposed scheme.

Defence Science Journal, 2012, 62(6), pp.437-442, DOI:http://dx.doi.org/10.14429/dsj.62.1297

Author Biography

Rajeev Srivastava, Institute of Technology Banaras Hindu University (IT BHU)

Dr Rajeev Srivastava received his PhD (Computer Engineering) from University of Delhi, Delhi, India. Presently working as an Associate Professor in the Department of Computer Engineering, Indian Institute of Technology, Banaras Hindu University, Varanasi, India. He has around 15 years of teaching and research experience. He has published around 32 research papers in reputed journals and conferences; 04 book chapters; edited one research reference book. His research interests include : Image processing and computer vision, pattern recognition, soft computing, bioinformatics algorithms and e-learning.