Image Inpainting for Irregular Holes Using Extreme Learning Machine

Kanhar, Debanand; Chandak, Raunak

doi:10.1007/978-3-030-50641-4_5

Studies in Computational Intelligence

2020

DOI: 10.1007/978-3-030-50641-4_5

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Image Inpainting for Irregular Holes Using Extreme Learning Machine

Debanand Kanhar¹,

Raunak Chandak²

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2022

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Cited by 2 publications

References 22 publications

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An Image Inpainting Method Based on Whale-Integrated Monarch Butterfly Optimization-Based DCNN

Hudagi

Soma²,

Biradar³

2022

International Journal of Swarm Intelligence Research

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This paper proposes an image inpainting method based on Whale integrated Monarch Butterfly Optimization-based Deep Convolutional Neural network (Whale-MBO-DCNN) model. Initially, the patch extraction and mapping are applied to the input image to extract the patches of the image followed by image reconstruction in order to map the patches. The patch with minimum distance is selected using the concept of Bhattacharya distance in patch extraction. On the other hand, the construction of the residual image form the input image is done using Deep CNN, which is trained with the proposed Whale-MBO algorithm. The proposed Whale-MBO algorithm is developed from the integration of Monarch Butterfly Optimization (MBO) and (WOA. Finally, the residual image and the reconstructed image are fused using Holoentropy to obtain the reconstructed image. The experimentation is performed using the evaluation metrics, such as PSNR, SDME, and SSIM. The effectiveness of the proposed image inpainting method is revealed through a higher PSNR, SDME, and SSIM of 33.0585, 74.4249, and 0.9479, respectively.

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An Image Inpainting Method Based on Whale-Integrated Monarch Butterfly Optimization-Based DCNN

Hudagi

Soma²,

Biradar³

2022

International Journal of Swarm Intelligence Research

View full text Add to dashboard Cite

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Squiride Rank

Sankpal

Patil

2022

International Journal of Web Portals

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The proposed SquiRide Rank algorithm is designed by integrating the Squirrel Search Algorithm (SSA) with the Rider Optimization Algorithm (ROA), respectively. The concept of fictional computing and the foraging behavior realize the re-ranking process more effectively in the web environment. However, the features extracted from the web pages makes the process more effective and achieve global optimal solution through the fitness measure. The proposed SquiRide Rank algorithm effectively captures and analyzes the ranking scores of different search engines in order to generate the re-ranked score result. However, the proposed SquiRide Rank algorithm provides satisfactory results using the metrics, like precision, recall, and F-measure, which acquired with the values of 0.964, 0.996, and 0.980, respectively.

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Image Inpainting for Irregular Holes Using Extreme Learning Machine

Cited by 2 publications

References 22 publications

An Image Inpainting Method Based on Whale-Integrated Monarch Butterfly Optimization-Based DCNN

An Image Inpainting Method Based on Whale-Integrated Monarch Butterfly Optimization-Based DCNN

Squiride Rank

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