Image Enhancement via Indented Frame Over Fusion

In this era of artificial intelligence (AI), the Internet of things (IoT) with the capability of connecting a great number of heterogeneous terminals and the popularity of mobile devices, which makes more devices available as another pair of eyes for people, such as video surveillance and smart navigation. As image enhancement is assisting people to better work together and helping people live a smarter life, it is therefore becoming increasingly important. Nevertheless, many vision systems are sensitive to factors like the scattering of light or motion which may cause blur. This paper promotes an image enhancement method and is dedicated to reduce the adverse effects of blurred images on vision systems. We first researched the theory of indented frame over fusion (IFOF) and presented an automatic screening function. Then subtly combined color reversal, registration and transformation. Lastly, we tested two examples with this method and gained good results. Image processed by this method, facing strong scattering of light environment, has improved its quality and visual effects. With the development of this kind of technology, there will be more practical and intelligent applications in our lives, such as license plate numbers recognition in bad weather and important items search on fire scenes.