The deep convolutional neural network (CNN) has achieved great success in image recognition.
Many image quality assessment (IQA) methods directly use recognition-oriented CNN …

Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising
idea to design BIQA methods by mimicking the working mechanism of human visual system (…

Motion deblurring can be advanced by exploiting informative features from supplementary
sensors such as event cameras, which can capture rich motion information asynchronously …

Event camera responds to the brightness changes at each pixel independently with
microsecond accuracy. Event cameras offer attractive property that can record well high-speed …

Integral cameras cause motion blur during relative object displacement, leading to degraded
image aesthetics and reduced performance of image-based algorithms. Event cameras …

Motion deblurring is a highly ill-posed problem due to the significant loss of motion information
in the blurring process. Complementary informative features from auxiliary sensors such …

No-reference image quality assessment (NR-IQA) is a challenging task. It is a promising
idea to design NR-IQA algorithms by mimicking how human visual system (HVS) works. The …

This paper reports the background and results of the Surface Defect Detection Competition
with Bio-inspired Vision Sensor, as well as summarizes the champion solutions, current …

Satellite observation is an important way to understand the earth. However, due to the
problems such as satellite aging, cloud obstruction, and other interferences during the imaging …

The convolutional neural network (CNN) has achieved great success in many visual tasks.
However, it has limited progress on image quality assessment (IQA) due to the lacking of IQA-…