A no-reference (NR) learning-based approach to assess image quality is presented in this
paper. The devised features are extracted from wide perceptual domains, including …

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 …

In this paper, we focus on the creation of general purpose 2-D image quality databases.
Although there are many of them, they still lack some important characteristics, such as high …

Deep convolutional neural networks (DCNN) have demonstrated their potential to generate
reasonable results in image inpainting. Some existing method uses convolution to generate …

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 …

This paper presents a comparison study on visual quality scores obtained from single-
stimulus and double-stimulus approaches for pattern images, respectively. We also conduct …

Human's perception plays a very important role on image assessment, especially for
stereoscopic images. In general, viewing stereoscopic 3D images will cause visual fatigue …

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 …

In this paper, we proposed a convolutional neural network called residual dense U-Net. This
network is devised based on the original U-Net network. The encoder-decoder architecture …

In this paper, we propose a new divide-and-conquer based method, called fusion of multiple
binary age-grouping-estimation systems, for human facial age estimation. Under a specific …