To enhance image detail and contrast effectively, we present a novel enhancement method
for remotely sensed images. This method is based on the combination of adaptive nonlinear …

When taking images in low light conditions, images often suffer from low visibility. In addition
to affecting the sensory quality of images, this poor quality may also significantly limit the …

Image enhancement is a crucial methodology in the field of image processing. The foremost
purpose of the image enhancement is to get a clearer picture of the image which will further …

It has been proven that Logarithmic Image Processing (LIP) models provide a suitable
framework for visualizing and enhancing digital images acquired by various sources. The …

Generally, the commonly used sparse‐based methods, such as sparse representation
classifier, have achieved a good recognition result in face recognition. However, there exist …

Under water images are likely to suffer from severe degradation such as colour distortion,
low contrast, and fuzz content, caused by the absorption and scattering effects of the water …

It is well known that the image multi-scale decomposition plays a foundational role in image
processing and a variety of image multi-scale decomposition methods have been derived in …

Security and surveillance videos, due to usage in open environments, are likely subjected to
low resolution, underexposed, and overexposed conditions that reduce the amount of useful …

Image contrast enhancement is an important step in digital image processing applications.
In this paper, we present an efficient contrast enhancement approach, which employs a …

对数图像处理模型已形成并应用于图像处理的各个方面. 本文提出一种参数对称的对数图像处理
(PSLIP) 新模型. 该模型建立了一种可以处理图像负值部分带参数的对称结构 …