Journal ArticleDOI
Weighted guided image filtering.
TLDR
Experimental results show that the resultant algorithms produce images with better visual quality and at the same time halo artifacts can be reduced/avoided from appearing in the final images with negligible increment on running times.Abstract:
It is known that local filtering-based edge preserving smoothing techniques suffer from halo artifacts. 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 address the problem. The WGIF inherits advantages of both global and local smoothing filters in the sense that: 1) the complexity of the WGIF is O(N) for an image with N pixels, which is same as the GIF and 2) the WGIF can avoid halo artifacts like the existing global smoothing filters. The WGIF is applied for single image detail enhancement, single image haze removal, and fusion of differently exposed images. Experimental results show that the resultant algorithms produce images with better visual quality and at the same time halo artifacts can be reduced/avoided from appearing in the final images with negligible increment on running times.read more
Citations
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Journal ArticleDOI
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
Jianrui Cai,Shuhang Gu,Lei Zhang +2 more
TL;DR: This paper proposes to use the convolutional neural network (CNN) to train a SICE enhancer, and builds a large-scale multi-exposure image data set, which contains 589 elaborately selected high-resolution multi-Exposure sequences with 4,413 images.
Journal ArticleDOI
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach
TL;DR: The proposed algorithm not only outperforms previous MEF algorithms on static scenes but also consistently produces high quality fused images with little ghosting artifacts for dynamic scenes and maintains a lower computational cost compared with the state-of-the-art deghosting schemes.
Journal ArticleDOI
Gradient Domain Guided Image Filtering
TL;DR: Both theoretical analysis and experimental results prove that the proposed gradient domain GIF can produce better resultant images, especially near the edges, where halos appear in the original GIF.
Journal ArticleDOI
Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index
TL;DR: A gradient ascent-based algorithm, which starts from any initial point in the space of all possible images and iteratively moves towards the direction that improves MEF-SSIM until convergence, and the final high quality fused image appears to have little dependence on the initial image.
Journal ArticleDOI
Edge-Preserving Decomposition-Based Single Image Haze Removal
Zhengguo Li,Jinghong Zheng +1 more
TL;DR: A novel edge-preserving decomposition-based method is introduced to estimate transmission map for a haze image so as to design a single image haze removal algorithm from the Koschmiedars law without using any prior.
References
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