High Dynamic Range Image Based on Block-Based Edge Strength for Embedded System Design

With the advancement of technology, improving the dynamic range of the monitor screen has become an urgent matter. Because the dynamic range of surveillance cameras is much lower in comparison to what is actually happening in the real-world, they tend to miss out some important information. Current surveillance systems often rely on automatic exposure control to obtain images, hence the images are dark and unclear at night. In order to make the images brighter and clearer at night, it is necessary for surveillance cameras to proceed with long exposure time during shooting, but this will lead to moving objects blurring. Thus, the existing image exposure fusion technology can not solve this problem. Therefore, we propose a novel image exposure fusion algorithm that uses block-based edge strength to find the optimal blocks from two differently exposed images. After that, a high dynamic range image is fused from these blocks. Finally, our approach possesses lower computing complexity, memory requirements and high image quality such that it is suitable for implementation in a generally embedded platform.