AN EXPERIMENTAL SET-UP OF A GRAPHICAL USER INTERFACE FOR IMAGE ENHANCEMENT USING CNN

MATLAB GUI provides a friendly graphical user interface. We know that deep learning is very in demand in today's life. It is used when talking about a large number of data, deep learning is used to learn features of a data set, or we can say that an image. So for this process of convolution, neural networks play an important role. CNN is used for speech recognition, face recognition, image classification, etc. In this research, an experimental set-up has been done for low-light image enhancement based on deep learning, and also enhancement has been done based on intelligent retrieval with the help of GUI in MATLAB. The authors also stressed minimizing the complexity as computational time has been measured, including all parameters. It is also known as Deep Learning. Enhancement, in terms of strengthening, is the same. Deep learning and CNN are the same; it is a subclass of intelligent retrieval. When we talk about a massive number of facts, and we have to classify them, so the system is very complex at that time, so we need to reduce that complexity. If we talk about GPU, it is very expensive. It is used for both software and hardware design; when we need to train data with a large amount of data, system complexity automatically increases.