Methods of Image Enhancement in Low-light Situations

Abstract

Poor visibility not only affects the consumer photography but also computer vision application. Low-light image enhancement explains the image details or perception of information in images for human viewers and understanding of imagery. Using the pixel values existing in the digital image, the details of low-light images are boosted under low illumination. The primary purpose of enhancing low-vision image is to increase visibility of the image. Dealing with noise is a significant challenge while enhancing. Previous studies have offered a variety of approaches for enhancing low-vision images. Low contrast, low brightness, severe noise, dark colors are the issues with image enhancing in low-light situations. Monochromatic atmospheric scattering model is used to form proposed absorption light scattering model. The concealed details and hidden features were reproduced with sufficient and homogeneous illumination. This strategy will help to achieve high result in terms of structure, details and local feature similarity. Here, some mathematical formulas were used to produce brightest image, which is produced from monochromatic ASM and absorption light scattering model. When we compare absorption light scattering method with other techniques, it will produce better result. This strategy highlights major details of absorption light scattering model. This method will produce better result in terms of contrast, brightness, sharpness, etc.