3 accepted papers
In recent years, single image super-resolution based on convolution neural network (CNN) has been extensively researched. However, most CNN-based methods only focus on mining features at a single resolution, which will cause the loss of some useful information. Besides, most of them still have diffi…
With the huge development of stereoscopic video technology, the research of stereoscopic video quality assessment (SVQA) has become very important for promoting the development of stereoscopic video system. These years, many SVQA methods based on convolutional neural network (CNN) have emerged. In t…
Stereoscopic image quality assessment (SIQA) is to predict the human perception quality of stereoscopic image pairs, which is more challenging than previous 2D image quality assessment due to the complicated binocular vision mechanism in the human visual system (HVS). Recently witnessed the signific…