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 …

Owing to imaging equipment's environment and limitations, the images obtained in industrial
cyber-physical systems (ICPSs) are degraded and available in various visual appearances …

The visual appearance of images changes in line with varying environmental light
conditions. Adjusting the exposure of various distorted images is a highly complex process …

Multiscale retinex is one of the most popular image enhancement methods. However, its
control parameters, such as Gaussian kernel sizes, gain, and offset, should be tuned …

Traditional enhancement techniques can improve the contrast of low-light and low-
resolution images, but they fail to recover their resolution. Conversely, traditional super …

Image enhancement algorithms are developed to achieve improved image quality. This
paper presents a novel technique to enhance colored images using Multi Scale Retinex …

A supervised image decomposition algorithm is proposed in this study for human heart rate
measurement under low-light environments. First, the comparative human face image pairs …

Images taken in low-light situations frequently have poor vision. Aside from less illumination,
a few kinds of deterioration, which include noise and color distortion induced by poor …

The fundamental policy of marble industries is to establish sustainable high-quality products
in a standardized manner. Identification and classification of different types of marbles is a …

The images captured under low and poor light conditions may suffer low contrast and
blurring problems which will affect its interpretation and recognition. Hence it is important to …