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A New Image Quality Database for Multiple Industrial Processes
Recent years have witnessed a broader range of applications of image processing technologies in multiple industrial processes, such as smoke detection, security monitoring, and workpiece inspection.
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
Based on this task, we build an Underwater Image Utility Database (UIUD) and a learning-based Underwater Image Utility Measure (UIUM).
AQPDCITY Dataset: Picture-Based PM Monitoring in the Urban Area of Big Cities
Since Particulate Matters (PMs) are closely related to people's living and health, it has become one of the most important indicator of air quality monitoring around the world.
AQPDBJUT Dataset: Picture-Based PM Monitoring in the Campus of BJUT
Ensuring the students in good physical levels is imperative for their future health.
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos
The saliency annotations of head and eye movements for both original and augmented videos are collected and together constitute the ARVR dataset.
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
Given an image, our quality measure first extracts 17 features through analysis of contrast, sharpness, brightness and more, and then yields a measre of visual quality using a regression module, which is learned with big-data training samples that are much bigger than the size of relevant image datasets.
