Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Enhanced Technique for Exemplar Based Image Inpainting Method

Authors
Shivanand Patil1, *, V. S. Malemath1, Suman Muddapur2
1KLE Dr. M. S. Sheshgiri College of Engineering and Technology, Belagavi, Karnataka, India
2Sangolli Rayanna First Grade Constituent College Belagavi, Belagavi, India
*Corresponding author. Email: shpatil102@gmail.com
Corresponding Author
Shivanand Patil
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_14How to use a DOI?
Keywords
Image Inpainting; Criminisi’s algorithm; Structure tensor
Abstract

Image Inpainting expertise in reconstructing mislaid image parts. It is the technique for filling an unknown area or scratched area of an Image developed on the nearby information present in the image that is not recognizable by ordinary viewer. In proposed method two Inpainting algorithms, the traditional exemplar-based Image Inpainting and structure tensor inpainting technique has been used. The traditional Criminisi’s Image Inpainting method is simple and fast but veracity of the image is weakened and the output image results in blurriness’s. To resolve this issue structure tensor Inpainting method has been introduced in the proposed method. The structure tensor algorithm gives more accuracy of the image by using Image structure tensor information. The experimental results are obtained by comparing the Criminisi’s method and the proposed method by PSNR, SSIM, MSE and SNR. Structure tensor method significantly improves Inpainting quality compared with traditional Criminisi’s method.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
978-94-6463-196-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_14How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shivanand Patil
AU  - V. S. Malemath
AU  - Suman Muddapur
PY  - 2023
DA  - 2023/08/10
TI  - Enhanced Technique for Exemplar Based Image Inpainting Method
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 153
EP  - 163
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_14
DO  - 10.2991/978-94-6463-196-8_14
ID  - Patil2023
ER  -