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

Laxmi Goswami, Arun Gupta, Preethi D
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Abstract

Photo in-portray for video processing is an crucial region within the field cutting-edge image and video processing that focuses on restoring photograph and video frames suffering from obstructions or defects. Usually, diffusion trendy strategies inclusive of orders aggregation, nearby growth, and deep trendy architectures had been used to carry out photograph in painting responsibilities, and these strategies can also be carried out to video frames. In this paper, we overview the strategies for picture in-painting video frames, which include the latest deep latest procedures. We then offer a comprehensive analysis brand new the performance assessment modern-day the exclusive techniques that have been proposed for this challenge. We conclude the paper via summarizing the blessings and drawbacks modern approach in addition to outlining capability future studies instructions.
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用于视频处理的图像内绘:技术与性能评估
用于视频处理的照片内画是前沿图像和视频处理领域中的一个重要领域,其重点是恢复出现障碍或缺陷的照片和视频帧。通常,包括阶次聚合、邻近增长和深度潮流架构在内的扩散潮流策略被用于执行照片内画任务,这些策略也可用于视频帧。在本文中,我们概述了视频帧中的图片绘制策略,其中包括最新的深度最新程序。然后,我们全面分析了现代针对这一挑战提出的独家技术的全新性能评估。我们通过总结现代方法的优点和缺点来结束本文,此外还概述了未来研究的能力说明。
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