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Review Article | Open Access

Review on Image Inpainting using Intelligence Mining Techniques

V. Merin Shobia( ), F. Ramesh Dhanaseelanb
Department of Computer Applications, C.S.I. Institute of Technology, Thovalai, Tamil Nadu, India
Department of Computer Applications, St. Xavier’s Catholic College of Engineering, Chunkankadai, Nagercoil, Tamil Nadu, India
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Abstract

Objective

Inpainting is a technique for fixing or removing undesired areas of an image.

Methods

In present scenario, image plays a vital role in every aspect such as business images, satellite images, and medical images and so on.

Results and Conclusion

This paper presents a comprehensive review of past traditional image inpainting methods and the present state-of-the-art deep learning methods and also detailed the strengths and weaknesses of each to provide new insights in the field.

Keywords

Image inpaintingDeep learningCNNWavelet transformations

References

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Advanced Ultrasound in Diagnosis and Therapy
Volume 7 Issue 4,
December 2023
Pages 366-372
DOI: 10.37015/AUDT.2023.230007

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Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

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Cite this article:
Merin Shobi V, Ramesh Dhanaseelan F. Review on Image Inpainting using Intelligence Mining Techniques. Advanced Ultrasound in Diagnosis and Therapy, 2023, 7(4): 366-372. https://doi.org/10.37015/AUDT.2023.230007

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Received: 25 February 2023
Revised: 18 May 2023
Accepted: 25 May 2023
Published: 30 December 2023
© AUDT 2023

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.