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2024 | OriginalPaper | Buchkapitel

Image Inpainting for Object Removal Application using Improved Patch Priority and Exemplar Patch Selection

verfasst von : B. Janardhana Rao, K. Revathi, Yalamanchili Bhanusree, Venkata Krishna Odugu, Harish Babu Gade

Erschienen in: Renewable Energy, Green Computing, and Sustainable Development

Verlag: Springer Nature Switzerland

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Abstract

Image inpainting is a method that can be employed to repair damaged images and remove distracting elements. The effectiveness of image inpainting approach heavily relies on the computation of patch priority and the selection of exemplar patches in exemplar-based methods. The occurrence of the dropping effect in the computation of the most significant patch priority and the occurrence of matching errors in the selection of the best patch are the primary concerns in example inpaint approaches. The upgraded priority calculation approach is utilized to prevent the dropping effect and introduces a new similarity evaluating procedure called Square of Mean Difference (SMD). The effectiveness of the suggested strategies is evaluated by qualitatively evaluating them with the existing methods. The results demonstrate that the suggested methods surpassed the performance of the existing strategies.

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Metadaten
Titel
Image Inpainting for Object Removal Application using Improved Patch Priority and Exemplar Patch Selection
verfasst von
B. Janardhana Rao
K. Revathi
Yalamanchili Bhanusree
Venkata Krishna Odugu
Harish Babu Gade
Copyright-Jahr
2024
Buch
Renewable Energy, Green Computing, and Sustainable Development

Print ISBN: 978-3-031-58606-4

Electronic ISBN: 978-3-031-58607-1

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-58607-1_14