Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Kwok-Wai Hung"'
Publikováno v:
IEEE Access, Vol 7, Pp 45618-45631 (2019)
In general, existing research on single image super-resolution does not consider the practical application that, when image transmission is over noisy channels, the effect of any possible geometric transformations could incur significant quality loss
Externí odkaz:
https://doaj.org/article/e316fc82d0b84cfc91b3a0416339bd91
Publikováno v:
IEEE Access, Vol 7, Pp 74711-74720 (2019)
Video super-resolution aims to increase the resolution of videos by exploiting the intra-frame and inter-frame dependencies of the low-resolution video sequences. There are usually two dependent steps in the video super-resolution: the motion compens
Externí odkaz:
https://doaj.org/article/567b53ca36984d8aab8d3aa7e5061762
Publikováno v:
IEEE Access, Vol 7, Pp 182993-183009 (2019)
Recently, there have been significant advances in image super-resolution based on generative adversarial networks (GANs) to achieve breakthroughs in generating more images with high subjective quality. However, there are remaining challenges needs to
Externí odkaz:
https://doaj.org/article/03e7dc52ee504515ab24c71ec84af694
Publikováno v:
IEEE Access, Vol 7, Pp 99804-99816 (2019)
In recent years, deep convolutional neural networks (CNNs) have been widely used for image super-resolution (SR) to achieve a range of sophisticated performances. Despite the significant advancement made in CNNs, it is still difficult to apply CNNs t
Externí odkaz:
https://doaj.org/article/3a1c54bb19134c4394930d217e2ab2cd
Publikováno v:
IEEE Access, Vol 7, Pp 113916-113930 (2019)
For many practical applications, it is essential to address both geometric corrections and missing information reconstruction of face images and natural images. However, it is unfavorable to separate the problem into two sub-tasks due to error accumu
Externí odkaz:
https://doaj.org/article/c36e8c59c66148b2bca31e997cc2dcf1
Publikováno v:
IEEE Transactions on Cybernetics. :1-13
Thanks to the efficient retrieval speed and low storage consumption, learning to hash has been widely used in visual retrieval tasks. However, existing hashing methods assume that the query and retrieval samples lie in homogeneous feature space withi
Publikováno v:
IEEE Transactions on Cybernetics. 52:4850-4854
Over the recent years, a number of deep learning approaches are successfully introduced to tackle the problem of image in-painting for achieving better perceptual effects. However, there still exist obvious hole-edge artifacts in these deep learning-
Publikováno v:
Multimedia Tools and Applications. 78:22813-22831
Recent developments of image super-resolution often utilize the deep convolutional neural network (CNN) and residual learning to relate the observed low-resolution pixels and unknown high-resolution pixels. However, image interpolation assumes that t
Publikováno v:
IEEE Access, Vol 7, Pp 182993-183009 (2019)
Recently, there have been significant advances in image super-resolution based on generative adversarial networks (GANs) to achieve breakthroughs in generating more images with high subjective quality. However, there are remaining challenges needs to
Publikováno v:
Journal of Visual Communication and Image Representation. 56:144-149
Recent researches show that the high-frequency discrete cosine transform (DCT) coefficients can be estimated from low-frequency DCT coefficients by exploiting the spatial correlations. Hence, images coded by DCT such as JPEG/MJPEG/H.264, etc., can be