Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …

With the popularity of mobile Internet, audio and video (A/V) have become the main way for
people to entertain and socialize daily. However, in order to reduce the cost of media …

Recently, learning-based algorithms have shown impressive performance in underwater
image enhancement. Most of them resort to training on synthetic data and obtain …

Image stitching, or known as image mosaic, is the process that combines images with
overlapped areas to form an image with wide view and high resolution. Image stitching …

With the development of multimedia technology, Augmented Reality (AR) has become a
promising next-generation mobile platform. The primary value of AR is to promote the fusion …

In this work, we propose a no-reference video quality assessment method, aiming to achieve
high-generalization capability in cross-content,-resolution and-frame rate quality prediction …

Existing no-reference (NR) image quality assessment (IQA) metrics are still not convincing
for evaluating the quality of the camera-captured images. Toward tackling this issue, we, in …

Underwater enhanced images (UEIs) are affected by not only the color cast and haze effect
due to light attenuation and scattering, but also the over-enhancement and texture distortion …

Opinion-unaware blind image quality assessment (OU BIQA) refers to establishing a blind
quality prediction model without using the expensive subjective quality scores, which is a …

Recently, applying deep learning to no-reference image quality assessment (NR-IQA) has
received significant attention. Especially in the last five years, an increasing interest has …