Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Weida Zhan"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5281-5300 (2024)
Abstract Single-frame infrared small target detection is affected by the low image resolution and small target size, and is prone to the problems of small target feature loss and positional offset during continuous downsampling; at the same time, the
Externí odkaz:
https://doaj.org/article/ae39ea4ff84a404dafc055e4a0e062d9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10097-10107 (2024)
In the marine field, infrared detection technology is of great significance for timely localization and detection of ships in security missions. However, since infrared ship targets are often in the environmental conditions of small pixel occupancy,
Externí odkaz:
https://doaj.org/article/959ab1ae25d44dee8bfac8c497a2588c
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7015-7036 (2023)
Abstract Thermal infrared image colorization is very difficult, and colorized images suffer from poor texture detail recovery and low color matching. To solve the above problems, this paper proposes an Efficient and Effective Generative Adversarial N
Externí odkaz:
https://doaj.org/article/68f5cb98d0ca476495ffb1cecc9fe293
Publikováno v:
Entropy, Vol 25, Iss 8, p 1201 (2023)
Low-illumination image enhancement technology is a topic of interest in the field of image processing. However, while improving image brightness, it is difficult to effectively maintain the texture and details of the image, and the quality of the ima
Externí odkaz:
https://doaj.org/article/a9c62627a3314889abeb15b056af4604
Publikováno v:
Entropy, Vol 25, Iss 7, p 1022 (2023)
Infrared pedestrian target detection is affected by factors such as the low resolution and contrast of infrared pedestrian images, as well as the complexity of the background and the presence of multiple targets occluding each other, resulting in ind
Externí odkaz:
https://doaj.org/article/d7cf92deb59b4fa780804c5c6661dcaa
Publikováno v:
Entropy, Vol 25, Iss 6, p 914 (2023)
When traditional super-resolution reconstruction methods are applied to infrared thermal images, they often ignore the problem of poor image quality caused by the imaging mechanism, which makes it difficult to obtain high-quality reconstruction resul
Externí odkaz:
https://doaj.org/article/f745cf7bd8ea46048bfef5e23371f8e7
Publikováno v:
IEEE Access, Vol 9, Pp 129890-129901 (2021)
The deep convolutional neural network has achieved great success in the Single Image Super-resolution task. It is obviously that among the well-known super-resolution methods, the deep learning-based algorithms show the most advanced performance. How
Externí odkaz:
https://doaj.org/article/f4612de7ab7945dc98efcdfd86ca2b4c
Publikováno v:
IEEE Access, Vol 9, Pp 130778-130792 (2021)
Image fusion operation is beneficial to many applications and is also one of the most common and critical computer vision challenges. The perfect infrared and visible image fusion results should include the important infrared targets while preserving
Externí odkaz:
https://doaj.org/article/5f95a1a4c1164f4cb9d14b1791ee697c
Publikováno v:
Photonics, Vol 9, Iss 12, p 983 (2022)
Recently, the deep-learning-based PatchMatch method has been rapidly developed in 3D reconstruction, based on which boundary regions are filled with other parts that most closely match edge parts, but limited PatchMatch data hinder the generalization
Externí odkaz:
https://doaj.org/article/95089789e12f4aed89a885d9634d74e2
Publikováno v:
Entropy, Vol 24, Iss 12, p 1759 (2022)
The goal of infrared and visible image fusion in the night scene is to generate a fused image containing salient targets and rich textural details. However, the existing image fusion methods fail to take the unevenness of nighttime luminance into acc
Externí odkaz:
https://doaj.org/article/7f764e416e2547418319491549d3f561