Low light image enhancement algorithms intent to produce visually pleasant images and
target to extract valuable information for computer vision applications. The task of improving …

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 …

In the industrial field, industrial robots have taken over the heavy lifting that used to be done
by traditional handicraft assembly lines, greatly freeing up human resources and improving …

The low light condition poses a challenge when utilizing direct monocular visual
simultaneous localization and mapping (vSLAM) in a parking environment. To make the …

In this paper, a novel dynamic multi-object classification method is proposed based on real-
time localization of a robot equipped with a vision sensor that captures a sparse three …

Existing low-light video enhancement methods are dominated by Convolution Neural
Networks (CNNs) that are trained in a supervised manner. Due to the difficulty of collecting …

Spatial color algorithms (SCAs) are computer vision procedures widely used for image
enhancement and human vision modeling. The main characteristic of SCA family is that they …

Most of the existing low-light image enhancement methods suffer from the problems of detail
loss, color distortion and excessive noise. To address the above-mentioned issues, this …

In the fingertip intelligent blood collection robot, we need to move the blood collection
needle to the designated position quickly and accurately, but it is difficult to meet the two …

Camera images often contain more information than the human eye can notice. Despite
numerous influences degrading image quality, there is potentially some information present …