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- W4310558768 abstract "Guided image filter is a well-known local filter in image processing. However, the presence of halo artifacts is a common issue associated with this type of filter. This paper proposes an algorithm that utilizes gradient information to accurately identify the edges of an image. Furthermore, the algorithm uses weighted information to distinguish flat areas from edge areas, resulting in sharper edges and reduced blur in flat areas. This approach mitigates the excessive blurring near edges that often leads to halo artifacts. Experimental results demonstrate that the proposed algorithm significantly suppresses halo artifacts at the edges, making it highly effective for both image denoising and detail enhancement." @default.
- W4310558768 created "2022-12-12" @default.
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- W4310558768 date "2022-11-30" @default.
- W4310558768 modified "2023-09-30" @default.
- W4310558768 title "Gradient Domain Weighted Guided Image Filtering" @default.
- W4310558768 doi "https://doi.org/10.48550/arxiv.2211.16796" @default.
- W4310558768 hasPublicationYear "2022" @default.
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