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EEW-WGIF employs an edge-aware weighting strategy based on entropy evaluation method to detect edges more accurately, and incorporates an explicit constraint based on the gradient variation to better preserve edges.
An edge-aware weighting strategy based on entropy evaluation method is proposed, which is more reliable in calculating the importance of each edge-aware factor.
Aug 5, 2024 · This paper introduces the principle of the defogging algorithm and the steps of the algorithm implementation. According to the simulated image ...
In this paper, a weighted guided image filter (WGIF) is introduced by incorporating an edge-aware weighting into an existing guided image filter (GIF) to ...
To make up for the deficiency, a weighted guided image filter (WGIF) was proposed recently by incorporating an edge-aware weighting into the filtering process.
Jun 2, 2024 · Abstract. Guided image filtering is one of the widely used techniques in computer vision. How- ever, it commonly leads to over-smoothed ...
Oct 19, 2024 · This method integrates an entropy-weighting mechanism for improved image quality and entropy, along with a reverse diffusion model to address ...
Abstract As the state of the art, grayscale image enhancement algorithms are most commonly adopted in the enhancement of RGB color images suffering.
Different from the conventional Retinex algorithms, the Weighted Guided Image Filter is used as a surround function instead of the Gaussian filter to estimate ...
Sep 9, 2022 · An adaptive image enhancement algorithm is proposed based on guided filtering to preprocess the nighttime image, and use the enhanced image for feature ...