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Implementation of an Efficient Image Inpainting Algorithm using Optimization Techniques

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Soft Computing and Signal Processing ( ICSCSP 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 840))

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Abstract

To repair the demolished images and remove the particular unnecessary objects in the image, optimized image inpainting techniques are required. In this work, a novel exemplar-based image inpainting technique is suggested. In this technique, the patch priority is computed using the regulation factor and coefficients. Two optimization techniques as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) techniques are employed to attain the optimal values of regularization factor and coefficients. The best exemplar patch selection is carried out by calculating the sum of the absolute difference between the patches. Performance measures including peak-signal-to-noise ratio (PSNR), mean square error (MSE), and Structural Similarity Index (SSIM) are tested using the suggested image inpainting process on images based on datasets. These results are compared with the available inpainting methods.

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Author information

Authors and Affiliations

  1. Sphoorthy Engineering College, Hyderabad, India

    K. Revathi

  2. CVR College of Engineering, Hyderabad, India

    B. Janardhana Rao, Venkata Krishna Odugu & Harish Babu Gade

Authors
  1. K. Revathi
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  2. B. Janardhana Rao
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  3. Venkata Krishna Odugu
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  4. Harish Babu Gade
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Corresponding author

Correspondence to B. Janardhana Rao .

Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, International Institute of Advance Technology (ICATSUC), Sarawak, Malaysia

    Hushairi Zen

  2. Department of Computer Science, University of South Australia, Adelaide, SA, Australia

    Naga M. Dasari

  3. Department of Electronics and Communication Engineering, Malla Reddy Engineering College for Women, Secunderabad, India

    Y. Madhavee Latha

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India

    S. Srinivasa Rao

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Revathi, K., Janardhana Rao, B., Odugu, V.K., Gade, H.B. (2024). Implementation of an Efficient Image Inpainting Algorithm using Optimization Techniques. In: Zen, H., Dasari, N.M., Latha, Y.M., Rao, S.S. (eds) Soft Computing and Signal Processing. ICSCSP 2023. Lecture Notes in Networks and Systems, vol 840. Springer, Singapore. https://doi.org/10.1007/978-981-99-8451-0_22

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