Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …

Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

Nowadays, people are getting used to taking photos to record their daily life, however, the
photos are actually not consistent with the real natural scenes. The two main differences are …

Images captured under low-light conditions are typically prone to undesirable visual
phenomena, particularly color distortion and additive noise, that impede the aesthetics and …

Principal Component Analysis is a dimension reduction technique that is widely used in the
area of image fusion, classification and face recognition. It cannot be applied on two …

Multi-exposure image fusion has emerged as an increasingly important and interesting
research topic in information fusion. It aims at producing an image with high quality by fusing …

We propose a method for multi-exposure image fusion based on information-theoretic
channel. In the fusion scheme, conditional entropy, as an information measurement of each …

In the case of poor lighting conditions, it is easy to capture the underexposed images with
low contrast and low quality. Traditional single-image enhancement methods often fail in …

针对局部立体匹配算法在边缘处容易出现误匹配的问题, 本文提出了一种结合权值传播进行代价
聚合的局部立体匹配方法. 首先采用基于颜色梯度的绝对差及Census 方法构造了匹配代价函数; …

Visual high-contrast information, such as texture and color, contained in input biomedical
imaging data should be preserved as much as possible in the fused image. To preserve the …