Half wavelet attention on M-Net+ for low-light image enhancement
Low-Light Image Enhancement is a computer vision task which intensifies the dark images
to appropriate brightness. It can also be seen as an illposed problem in image restoration …
to appropriate brightness. It can also be seen as an illposed problem in image restoration …
Selective residual m-net for real image denoising
Image restoration is a low-level vision task which is to restore degraded images to noise-free
images. With the success of deep neural networks, the convolutional neural networks …
images. With the success of deep neural networks, the convolutional neural networks …
A structure-based human facial age estimation framework under a constrained condition
Developing an automatic age estimation method toward human faces continues to possess
an important role in computer vision and pattern recognition. Many studies regarding facial …
an important role in computer vision and pattern recognition. Many studies regarding facial …
Image inpainting for random areas using dense context features
Deep convolutional neural networks (DCNN) have demonstrated their potential to generate
reasonable results in image inpainting. Some existing method uses convolution to generate …
reasonable results in image inpainting. Some existing method uses convolution to generate …
Image super-resolution using complex dense block on generative adversarial networks
The recent super-resolution (SR) techniques are divided into two directions. One is to
improve PSNR and the other is to improve visual quality. We believe improving visual quality …
improve PSNR and the other is to improve visual quality. We believe improving visual quality …
Blind stereoscopic image quality assessment based on hierarchical learning
We proposed a blind image quality assessment model which used classification and
prediction for three-dimensional (3D) image quality assessment (denoted as CAP-3DIQA) …
prediction for three-dimensional (3D) image quality assessment (denoted as CAP-3DIQA) …
Satellite image super-resolution by 2d rrdb and edge-enhanced generative adversarial network
TJ Liu, YZ Chen - Applied Sciences, 2022 - mdpi.com
With the gradually increasing demand for high-resolution images, image super-resolution
(SR) technology has become more and more important in our daily life. In general, high …
(SR) technology has become more and more important in our daily life. In general, high …
Compound multi-branch feature fusion for image deraindrop
Image restoration is a challenging and ill-posed problem which also has been a long-
standing issue. In this paper, we proposed a multi-branch restoration model inspired from …
standing issue. In this paper, we proposed a multi-branch restoration model inspired from …
Cbl: A clothing brand logo dataset and a new method for clothing brand recognition
In this work, we presented a novel clothing brand logo prediction method which is rooted on
a dense-block based deep convolutional neural network for brand logo detection and …
a dense-block based deep convolutional neural network for brand logo detection and …
An improved method for evaluating image sharpness based on edge information
Z Liu, H Hong, Z Gan, J Wang, Y Chen - Applied Sciences, 2022 - mdpi.com
In order to improve the subjective and objective consistency of image sharpness evaluation
while meeting the requirement of image content irrelevance, this paper proposes an …
while meeting the requirement of image content irrelevance, this paper proposes an …