An Algorithmic Approach towards Remote Sensing Imagery Data Restoration Using Guided Filters in Real-Time Applications

Author:

Singh Prabhishek1ORCID,Diwakar Manoj23ORCID,Ghosh Debjani1ORCID,Vidyarthi Ankit4ORCID,Gupta Deepak5,Gupta Punit6ORCID

Affiliation:

1. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

2. Department of CSE, Graphic Era Deemed to be University, Dehradun, Uttrakhand, India

3. Department of CSE, Graphic Era Hill University, Dehradun, India

4. Department of CSE&IT, Jaypee Institute of Information Technology, Noida, India

5. Department of CSE, Maharaja Agrasen Institute of Technology, Delhi, India

6. School of Computer Science, University College Dublin, Dublin, Ireland

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference51 articles.

1. Anonymous. 2014. “Test images” 2014-03-13 Website: https://ccia.ugr.es/cvg/dbimagenes/.

2. Anonymous 2023. “Dataset of standard 512X512 grayscale test images” 23/7/03 Website: https://ccia.ugr.es/cvg/CG/base.htm.

3. A systematic review on recent developments in nonlocal and variational methods for SAR image despeckling

4. Restoration of speckle noise corrupted SAR images using regularization by denoising

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