Zobrazeno 1 - 10
of 539
pro vyhledávání: '"image matting"'
Publikováno v:
IEEE Access, Vol 12, Pp 60808-60825 (2024)
The widespread deployment of Closed-Circuit Television (CCTV) systems in public and private spaces has significantly enhanced security measures but also posed unique challenges in accurately interpreting the voluminous data captured, especially in th
Externí odkaz:
https://doaj.org/article/40c13f51c9124a149e64775ec569a6b0
Autor:
Ge Peng, Jingzong Yang
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 4, Pp 2307-2318 (2024)
The conventional image matting algorithms needed priori manual Trimap information to produce excellent matting results which made real time matting impossible. To tackle the problem, a Trimap-free image matting network, TFMNet, is proposed in this pa
Externí odkaz:
https://doaj.org/article/ae7114eaf8434e8e9c74a54439df6f6e
Publikováno v:
IET Image Processing, Vol 17, Iss 10, Pp 2829-2837 (2023)
Abstract To solve the problem that the deep learning‐based image matting algorithm cannot balance accuracy and model size, a lightweight image matting algorithm based on deep learning is proposed. Considering the limitation of memory and computing
Externí odkaz:
https://doaj.org/article/c5e19fa9261f46679b315c9a487786fa
Publikováno v:
IEEE Access, Vol 11, Pp 58808-58821 (2023)
Image matting is an important computer vision problem. Many existing matting methods leverage a hand-made trimap to provide auxiliary information, which is expensive and time-consuming for real-world applications. In recent years, some trimap-free me
Externí odkaz:
https://doaj.org/article/e25c9d3e04e143b8aead1ff38d6290e4
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8616 (2023)
Image matting methods based on deep learning have made tremendous success. However, the success of previous image matting methods typically relies on a massive amount of pixel-level labeled data, which are time-consuming and costly to obtain. This pa
Externí odkaz:
https://doaj.org/article/50e4c7f4a1e544e68350c23a3129295c
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6512 (2023)
Image matting is a fundamental technique used to extract a fine foreground image from a given image by estimating the opacity values of each pixel. It is one of the key techniques in image processing and has a wide range of applications in practical
Externí odkaz:
https://doaj.org/article/631ac118394947db86fc9c51419daf4d
Autor:
Renzhe Wu, Guoxiang Liu, Jichao Lv, Yin Fu, Xin Bao, Age Shama, Jialun Cai, Baikai Sui, Xiaowen Wang, Rui Zhang
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2119 (2023)
Clouds are the major source of clutter in optical remote sensing (RS) images. Approximately 60% of the Earth’s surface is covered by clouds, with the equatorial and Tibetan Plateau regions being the most affected. Although the implementation of tec
Externí odkaz:
https://doaj.org/article/88966e32252243b2bd412c7c73e4e607
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7994-8007 (2021)
Hyperspectral (HS) imaging has achieved breakthroughs in many applications, such as remote sensing and object recognition. However, the spatial resolution of HS images is still insufficient due to the limitations of sensor technology and cost. In thi
Externí odkaz:
https://doaj.org/article/cf6d4e22e55d4e5890e873501ee5232a
Publikováno v:
Radioengineering, Vol 29, Iss 1, Pp 228-234 (2020)
A matting technique to extract the targets from synthetic aperture radar (SAR) images is presented. Binary segmentation is performed initially for rough identification of target boundaries. Trimap is then estimated by combining the boundary structure
Externí odkaz:
https://doaj.org/article/61f2212f5a1e4899a109d0246ab9f72c