Zobrazeno 1 - 10
of 308
pro vyhledávání: '"She Kun"'
Publikováno v:
IET Computer Vision, Vol 15, Iss 3, Pp 165-180 (2021)
Abstract An effective feature representation can boost recognition tasks in the sketch domain. Due to an abstract and diverse structure of the sketch relatively with a natural image, it is complex to generate a discriminative features representation
Externí odkaz:
https://doaj.org/article/dc97188400cb4b0fb280fc35d6961a00
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2365-2375 (2020)
It is very interesting to reconstruct high‐resolution computed tomography (CT) medical images that are very useful for clinicians to analyse the diseases. This study proposes an improved super‐resolution method for CT medical images in the sparse
Externí odkaz:
https://doaj.org/article/5b17e6c2afa941d2afef848dabb067dd
Publikováno v:
IEEE Access, Vol 8, Pp 73330-73339 (2020)
The scattering of atmospheric particles significantly alters images captured under hazy weather condition. Images appear distorted, blurry and low in contrast attenuation, which extensively affects computer vision systems. There has been development
Externí odkaz:
https://doaj.org/article/a32aef56ff004e97b689efe10fff092f
Publikováno v:
IEEE Access, Vol 8, Pp 37035-37044 (2020)
Low-resolution medical images can seriously interfere with the medical diagnosis, and poor image quality can lead to loss of detailed information. Therefore, improving the quality of medical images and accelerating the reconstruction is of particular
Externí odkaz:
https://doaj.org/article/acc4c7e300df478c9fb69e25470d3b23
Publikováno v:
Security and Safety, Vol 2, p 2023016 (2023)
The paper presents a study of networked control systems (NCSs) that are subjected to periodic denial-of-service (DoS) attacks of varying intensity. The use of appropriate Lyapunov–Krasovskii functionals (LKFs) help to reduce the constraints of the
Externí odkaz:
https://doaj.org/article/dbbbb387b55940f0b14fde452810d375
Publikováno v:
IEEE Access, Vol 7, Pp 121350-121359 (2019)
In this paper, we propose the convolutional sparse coding based model in the wavelet domain for the task of single image super-resolution (SISR). The conventional sparse coding based approaches work on overlapping image patches and use the dictionary
Externí odkaz:
https://doaj.org/article/22a06700e01e4f77912a3a9ee304f849
Publikováno v:
Information, Vol 11, Iss 6, p 303 (2020)
Due to the advancement of technology, devices generate huge working files at a rapid rate. These data, which are of considerable scale and are created very fast, can be called big data. Keeping such files in one storage device is impossible. Therefor
Externí odkaz:
https://doaj.org/article/e2ad60632dbb4565855563e3d702a829
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2017 (2017)
Today, more and more people have benefited from the speaker recognition. However, the accuracy of speaker recognition often drops off rapidly because of the low-quality speech and noise. This paper proposed a new speaker recognition model based on wa
Externí odkaz:
https://doaj.org/article/6badb1949ee348bc97f86a2fc0cf79cc
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2016 (2016)
An important application of speaker recognition is forensics. However, the accuracy of speaker recognition in forensic cases often drops off rapidly because of the ill effect of ambient noise, variable channel, different duration of speech data, and
Externí odkaz:
https://doaj.org/article/c81d2e615b4b47c4b296aa9033469587
Publikováno v:
In Neural Networks October 2024 178