Image In-Painting for Video Processing: Techniques and Performance Evaluation

Goswami, Laxmi; Gupta, Arun; D, Preethi

doi:10.1109/icocwc60930.2024.10470683

2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC) 2024

DOI: 10.1109/icocwc60930.2024.10470683

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Image In-Painting for Video Processing: Techniques and Performance Evaluation

Laxmi Goswami,

Arun Gupta,

Preethi D

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An effective video inpainting technique using morphological Haar wavelet transform with krill herd based criminisi algorithm

Srinivasan,

Chinnadurai,

Senthilkumar

et al. 2024

Sci Rep

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In recent times, video inpainting techniques have intended to fill the missing areas or gaps in a video by utilizing known pixels. The variety in brightness or difference of the patches causes the state-of-the-art video inpainting techniques to exhibit high computation complexity and create seams in the target areas. To resolve these issues, this paper introduces a novel video inpainting technique that employs the Morphological Haar Wavelet Transform combined with the Krill Herd based Criminisi algorithm (MHWT-KHCA) to address the challenges of high computational demand and visible seam artifacts in current inpainting practices. The proposed MHWT-KHCA algorithm strategically reduces computation times and enhances the seamlessness of the inpainting process in videos. Through a series of experiments, the technique is validated against standard metrics such as peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM), where it demonstrates superior performance compared to existing methods. Additionally, the paper outlines potential real-world applications ranging from video restoration to real-time surveillance enhancement, highlighting the technique’s versatility and effectiveness. Future research directions include optimizing the algorithm for diverse video formats and integrating machine learning models to advance its capabilities further.

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An effective video inpainting technique using morphological Haar wavelet transform with krill herd based criminisi algorithm

Srinivasan,

Chinnadurai,

Senthilkumar

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

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Image In-Painting for Video Processing: Techniques and Performance Evaluation

Cited by 1 publication

References 15 publications

An effective video inpainting technique using morphological Haar wavelet transform with krill herd based criminisi algorithm

An effective video inpainting technique using morphological Haar wavelet transform with krill herd based criminisi algorithm

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