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Haze removal on superpixel domain
2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013Haze and fog cause poor visibility for vision sensor, and make computer vision problems challenging. In this paper, we propose a new de-hazing method for single image on super-pixel domain. One of widely used approaches for de-hazing is to introduce dark channel prior.
Sang-Woo Noh, Byungtae Ahn, In-So Kweon
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A generative superpixel method.
2014Superpixel methods have become popular in recent years as they provide an efficient preprocessing tool for a manifold of computer vision applications. In this work, we propose a method based on a self-adapting and self-growing network, which is bred starting from two random initialization seeds in the image.
MORERIO, PIETRO +2 more
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2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Alastair Philip Moore +4 more
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Alastair Philip Moore +4 more
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Weakly-supervised semantic segmentation with superpixel guided local and global consistency
Pattern Recognition, 2022Sheng Yi, Xiang Wang, Tianyu Hu
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A Superpixel-Based Dual Window RX for Hyperspectral Anomaly Detection
IEEE Geoscience and Remote Sensing Letters, 2020Lang Ren, Liaoying Zhao
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Superpixel-based 3D deep neural networks for hyperspectral image classification
Pattern Recognition, 2018Cheng Shi, Chi-Man Pun
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SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment
IEEE Transactions on Image Processing, 2018Qingmin Liao, Jing-Hao Xue
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Superpixel-Based Segmentation for 3D Prostate MR Images
IEEE Transactions on Medical Imaging, 2016Zhiqiang Tian +2 more
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