High dynamic range compression with detail refinement in network communication

In network communication, the data could be texts, images, or videos. There are three steps for transforming the analog signal to digital signal, there are: sampling, quantization and coding. When capturing scenes in a real world, traditional display devices would encounter a problem of representing high contrast. It is because the part in the dimmest region or in the brightest region is almost invisible. The causes of this invisible part can be ascribed to two limits-the brightness adaptation of eyes and the architecture of display devices. To overcome these problems, tone reproduction algorithms have been designed to clamp the contrast and conform to the human visual system. In this paper, we proposed a new algorithm for tone reproduction problems. That can solve the data communication problem of wireless network. This new algorithm is based on the level set method and Barladian's algorithm; we modify the integrated algorithm by adding three more steps. These three steps are: adaptive gain control, dodging-and- burning, and local contrast enhancement. In experiments our algorithm reproduced images not only visible in low dynamic range, but also conserves and reveals more details.