In the consumer electronics field, the main challenge in image processing is to preserve the
original brightness. Histogram Equalization (HE) is one of the simplest and widely used …

Underwater image processing is an intelligence research field that has great potential to
help developers better explore the underwater environment. Underwater image processing …

User-generated content (UGC) live videos are often bothered by various distortions during
capture procedures and thus exhibit diverse visual qualities. Such source videos are further …

Images of road scenes in low-light situations are lack of details which could increase crash
risk of connected autonomous vehicles (CAVs). Therefore, an effective and efficient image …

Quality evaluation of underwater images is a key goal of underwater video image retrieval
and intelligent processing. To date, no metric has been proposed for underwater color …

We propose automatic contrast-limited adaptive histogram equalization (CLAHE) for image
contrast enhancement. We automatically set the clip point for CLAHE based on textureness …

The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …

Current state-of-the-art object tracking methods have largely benefited from the public
availability of numerous benchmark datasets. However, the focus has been on open-air …

Abstract Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …

图像质量对人类视觉信息的获取影响很大, 如何在没有参考图像的情况下准确地评价失真图像的
质量是一个关键但又非常困难的问题. 本文回顾了近20 年来无参考图像质量评价发展的主要 …