Zobrazeno 1 - 10
of 806
pro vyhledávání: '"infrared and visible"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 4, Pp 735-743 (2024)
In order to solve the target ambiguity and information loss in the fusion results of traditional infrared and visible images, a fusion method of infrared and visible images based on the target enhancement and mouse swarm optimization, which is abbrev
Externí odkaz:
https://doaj.org/article/edd32c370e02434f9cb51d8b8f00bebf
Autor:
Yongyu Luo, Zhongqiang Luo
Publikováno v:
PeerJ Computer Science, Vol 10, p e2569 (2024)
The purpose of infrared and visible image fusion is to obtain an image that includes both infrared target and visible information. However, among the existing infrared and visible image fusion methods, some of them give priority to the fusion effect,
Externí odkaz:
https://doaj.org/article/2a70d7009f8c444db3a07f7a5b670a06
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 4, Pp 899-915 (2024)
How to preserve the complementary information in multiple images to represent the scene in one image is a challenging topic. Based on this topic, various image fusion methods have been proposed. As an important branch of image fusion, infrared and vi
Externí odkaz:
https://doaj.org/article/c0bac0a267a04a07a7684be282403162
Autor:
Zhouyu Zhang, Chenyuan He, Hai Wang, Yingfeng Cai, Long Chen, Zhihua Gan, Fenghua Huang, Yiqun Zhang
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102090- (2024)
Infrared and visible image fusion is an effective solution for image quality enhancement. However, conventional fusion models require the decomposition of source images into image blocks, which disrupts the original structure of the images, leading t
Externí odkaz:
https://doaj.org/article/a6a71ffb4524421b81f19008f83f0398
Publikováno v:
Optics, Vol 5, Iss 1, Pp 76-87 (2024)
Image fusion is an effective and efficient way to express the feature information of an infrared image and abundant detailed information of a visible image in a single fused image. However, obtaining a fused result with good visual effect, while pres
Externí odkaz:
https://doaj.org/article/17882bb40bc24983b8c9224a02651db0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract To address the phenomenon of many small and hard-to-detect objects in infrared and visible light images, we propose an object detection algorithm CDYL (Convolution to Fully Connect-ed-Deformable Convolution You only Look once) based on the C
Externí odkaz:
https://doaj.org/article/74e0808ef9ab4342b65f1ce0b26d5fb5
Publikováno v:
IEEE Access, Vol 12, Pp 147051-147064 (2024)
In current deep learning-based infrared and visible image fusion algorithms, the image processing step involves converting the RGB channels of visible image into luminance channels. These methods usually pay more attention to the texture details in t
Externí odkaz:
https://doaj.org/article/a12e687b852347038889b9e43ee089f4
Autor:
Yongyu Luo, Zhongqiang Luo
Publikováno v:
IEEE Access, Vol 12, Pp 82134-82145 (2024)
Infrared and visible image fusion is of great significance in many applications, such as automatic navigation, security monitoring, and so on. In the existing deep learning methods, the traditional convolutional neural network mainly focuses on local
Externí odkaz:
https://doaj.org/article/970d32600a67486ca3422aae88a52a0c
Publikováno v:
IEEE Access, Vol 12, Pp 26119-26136 (2024)
In the task of fusing infrared and visible images, the extraction of features and fusion strategy significantly impacts the outcome of the fusion. However, prevailing fusion methods are often manually designed, unlearnable, and neglect to consider co
Externí odkaz:
https://doaj.org/article/a38feb5bcd5145c78ca60f279ffc5d4a
Autor:
Qian Xu, Yuan Zheng
Publikováno v:
IEEE Access, Vol 12, Pp 8359-8372 (2024)
Infrared and visible image fusion (IVIF) aims to synthesize images that capitalize on the strengths of both modalities. Addressing the common challenge in IVIF of preserving thermal radiation from infrared and textural details from visible images, we
Externí odkaz:
https://doaj.org/article/f8cf584804f64e7ba325cad4138c7c8c