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Haze removal on superpixel domain

2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013
Haze 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
openaire   +1 more source

Cluster Sensing Superpixel and Grouping

2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016
Superpixel algorithms have shown significant potential in computer vision applications since they can be used to accelerate other computationally demanding algorithms. However, in contrast to the original purpose of superpixels, many upper layer methods still suffer from computational problems when incorporating superpixel for speedup.
Rui Li 0054, Lu Fang 0001
openaire   +1 more source

Adaptive hypergraph superpixels

Displays, 2023
Shaofan Wang   +6 more
openaire   +1 more source

A generative superpixel method.

2014
Superpixel 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
openaire   +2 more sources

Superpixel lattices

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Alastair Philip Moore   +4 more
openaire   +1 more source

Ship detection based on a superpixel-level CFAR detector for SAR imagery

International Journal of Remote Sensing, 2022
Tao Xie
exaly  

Multitask Learning-Based for SAR Image Superpixel Generation

Remote Sensing, 2022
Jianda Cheng   +2 more
exaly  

Superpixel Rise

SSRN Electronic Journal, 2022
YONGWEI YI, Hanshan Qing, Yingying Liu
openaire   +1 more source

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