Algorithm and architecture design of adaptive brightness correction for video application

Abstract

Some factors of the environment and user behavior always dominate the captured image quality when we use a digital camera. According to the overviews and analysis of adaptive brightness correction, we understand that techniques can provide an available method to reduce the interference of environmental light in digital cameras, but current methods are still not suitable for VLSI design. In this paper, we propose an efficient method, called local bi-histogram equalization (LBHE), to remedy the local visibility and control the degree of enhancement. In architecture design, we utilize the hybrid architecture to implement adaptive brightness correction with the MPEG system. The hybrid architecture design can decrease the implementation area and successfully applies our LBHE in MPEG application. Through comparison of content, we can find that our design can exactly satisfy the chip specification of realtime processing. Our chip implementation is efficient to achieve motion and brightness estimation in the MPEG system. This design makes adaptive brightness correction compatible to current video applications.