Gradient Domain Weighted Guided Image Filtering

• URL: http://arxiv.org/abs/2211.16796v2
• Date: Fri, 2 Jun 2023 09:32:31 GMT
• Title: Gradient Domain Weighted Guided Image Filtering
• Authors: Bo Wang, Yihong Wang, Xiubao Sui, Yuan Liu, Qian Chen
• Abstract summary: This paper proposes an algorithm that utilizes gradient information to accurately identify the edges of an image. The algorithm uses weighted information to distinguish flat areas from edge areas, resulting in sharper edges and reduced blur in flat areas. 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.
• Score: 9.650335855639623
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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