NDLI: Improved sub-band adaptive thresholding function for denoising of satellite image based on evolutionary algorithms

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Improved sub-band adaptive thresholding function for denoising of satellite image based on evolutionary algorithms

Content Provider	IET Digital Library
Author	Soni, Vivek Bhandari, Ashish Kumar Kumar, Anil Singh, Girish Kumar
Abstract	In this study, an improved method based on evolutionary algorithms for denoising of satellite images is proposed. In this approach, the stochastic global optimisation techniques such as Cuckoo Search (CS) algorithm, artificial bee colony (ABC), and particle swarm optimisation (PSO) technique and their different variants are exploited for learning the parameters of adaptive thresholding function required for optimum performance. It was found that the CS algorithm and ABC algorithm-based denoising approach give better performance in terms of edge preservation index or edge keeping index (EPI or EKI) peak signal-to-noise ratio (PSNR) and signal-to-noise ratio (SNR) as compared to PSO-based denoising approach. The proposed technique has been tested on satellite images. The quantitative (EPI, PSNR and SNR) and visual (denoised images) results show superiority of the proposed technique over conventional and state-of-the-art image denoising techniques.
Starting Page	720
Ending Page	730
Page Count	11
ISSN	17519675
Volume Number	7
e-ISSN	17519683
Issue Number	Issue 8, Oct (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/7/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0139
Journal	IET Signal Processing
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ABC Technique Artificial Bee Colony Technique Computer Vision And Image Processing Technique CS Algorithm Cuckoo Search Algorithm Edge Keeping Index Edge Preservation Index Evolutionary Algorithm Evolutionary Computation Image Denoising Improved Subband Adaptive Thresholding Function Optical, Image And Video Signal Processing Optimisation Technique Particle Swarm Optimisation Peak Signal-to-noise Ratio PSO Technique Remote Sensing Satellite Image Denoising Signal to Noise Ratio Stochastic Global Optimisation Technique
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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