Abstract:
Generally, low-light image enhancement techniques are mostly not just
made to achieve both visual quality and computational efficiency but also commonly
invalid in unknown complex scenarios. The system is focused on the image high quality
displaying of low-light images using enhancement techniques. This system is used Self Calibrated Illumination (SCI) module Network combination with Convolutional Neural
Network (CNN) based on ResNet architecture Network to enhance the low-light image.
In this system, Low-Light (LOL) dataset is applied. The system will be used LOL testing
dataset for performance evaluation of the model. This system is implemented with the
software program as Python language code and Anaconda application for running.
Moreover, this system uses the three types of low-light image dataset for testing as LOL
images, captured images by Camera and Black&White dataset.
