Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yonggui Zhu"'
Autor:
Guofang Li, Yonggui Zhu
Publikováno v:
IEEE Access, Vol 11, Pp 103476-103485 (2023)
Temporal modeling is the essential to achieve video super-resolution. Most models use alignment or recurrent methods to directly exploit the temporal information of consecutive frames. However, the feature information extracted directly from the inpu
Externí odkaz:
https://doaj.org/article/f77990f582934016bb76ae86226d91c5
Autor:
Yonggui Zhu, Guofang Li
Publikováno v:
Sensors, Vol 23, Iss 20, p 8574 (2023)
Effective aggregation of temporal information of consecutive frames is the core of achieving video super-resolution. Many scholars have utilized structures such as sliding windows and recurrences to gather the spatio-temporal information of frames. H
Externí odkaz:
https://doaj.org/article/2c0f63d6b9f743148195ff1fb8c02169
Publikováno v:
Sensors, Vol 23, Iss 13, p 5915 (2023)
Recently, convolutional neural networks (CNNs) have been widely used in image denoising, and their performance has been enhanced through residual learning. However, previous research mostly focused on optimizing the network architecture of CNNs, igno
Externí odkaz:
https://doaj.org/article/be1ffd6b17bb4f70a0b45cbe90e61996
Publikováno v:
IEEE Access, Vol 9, Pp 79936-79946 (2021)
Recently, with the broad applications of deep learning technology in image denoising, many deep neural networks based on the residual block (ResBlock) have been proposed to improve the performance. This paper presents DC-ResBlock, a ResBlock with an
Externí odkaz:
https://doaj.org/article/6d8fba04595b4f17875fa711db195244
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 5, Pp 5022-5040 (2019)
Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images, which are yielded by applying resampling followed by post-JPEG compres
Externí odkaz:
https://doaj.org/article/9857864573784f56a1d96b694124a2bc
Publikováno v:
Heliyon, Vol 6, Iss 3, Pp e03680- (2020)
A modified total variation MRI image denoising method is proposed in this paper. First, the proposed method removes the noise in K-space in compressed sensing MRI reconstruction. Then, the removed K-space data is used as a partial frequency observati
Externí odkaz:
https://doaj.org/article/1564881c34e74d99a3762b475754bd0e
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 5915
Recently, convolutional neural networks (CNNs) have been widely used in image denoising, and their performance has been enhanced through residual learning. However, previous research mostly focused on optimizing the network architecture of CNNs, igno
Publikováno v:
IEEE Access, Vol 9, Pp 79936-79946 (2021)
Recently, with the broad applications of deep learning technology in image denoising, many deep neural networks based on the residual block (ResBlock) have been proposed to improve the performance. This paper presents DC-ResBlock, a ResBlock with an
Publikováno v:
Heliyon, Vol 6, Iss 3, Pp e03680-(2020)
Heliyon
Heliyon
A modified total variation MRI image denoising method is proposed in this paper. First, the proposed method removes the noise in K-space in compressed sensing MRI reconstruction. Then, the removed K-space data is used as a partial frequency observati
Publikováno v:
Journal of the Franklin Institute. 354:4595-4614
In recent works several authors have considered the L1 fidelity term, the L2 fidelity term and the combined L1 and L2 fidelity term for denoising models, and they used the fast Fourier transform (FFT) algorithm which can only use periodic boundary co