Improved sub‐band adaptive thresholding function for denoising of satellite image based on evolutionary algorithms-Reference-Cited by-同舟云学术

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

Published:2013-10 Issue:8 Volume:7 Page:720-730
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Soni Vivek¹,Bhandari Ashish Kumar¹,Kumar Anil¹,Singh Girish Kumar²³

Affiliation:

1. Indian Institute of Information Technology Design and ManufacturingJabalpur482011MPIndia

2. Department of Electrical EngineeringIndian Institute Technology RoorkeeUttrakhand247667India

3. Present Address: Visiting ProfessorDepartment of Electrical EngineeringUniversity of MalayaMalaysia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2013.0139

Reference41 articles.

1. Bhandari A.K. Kumar A. Padhy P.K.: ‘Improved normalised difference vegetation index method based on discrete cosine transform and singular value decomposition for satellite image processing’.IET Signal Process. 2012 pp.1–9

2. A theory for multiresolution signal decomposition: the wavelet representation

3. Ideal spatial adaptation by wavelet shrinkage

4. Adapting to Unknown Smoothness via Wavelet Shrinkage

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