Image visualization and face detection technique into extreme dark environment

Abstract

In this study, Enhancement techniques in the spatial domain have been proposed for the enhancement of dark and extreme dark images. Image processing is most important part of computer vision. Face detection and recognition is another important research subject in machine learning. We worked three image processing techniques which we used to visualize the extreme Dark image. We were using contrast stretching, Histogram equalization, Adaptive Histogram equalization. Here it is exhibited the comparison of enhancement techniques. In this research, another part is face detection. After processing image, it can be detected in the face. Here is presented a face detection system from proceeding output image. It creates a green circle on the face and crops the face. The strategy models the circulation of human face designs by methods for a couple of view-based "face" and "non-face" demonstrates groups. In the process, another thing is it can be detected the face in the last processing stage in the dark image (original image). We also illustrate our proposed model, algorithm, comparison with other research. We are analyzing our dataset. Mainly we do our research an application perspective.