Cloud-Based Data Offloading for Multi-focus and Multi-views Image Fusion in Mobile Applications

Yiqi Shi, Jianguo Sun, Duo Liu, Liang Kou, Boquan Li, Qing Yang, Liguo Zhang

Abstract: The mobile phone is currently the most wid- ely used and most convenient photographic device. Like many optical imaging devices the camera of mobile ph- one are far from flawless, such as limited field of view and depth of focus in photos. Due to its limited computing power, it is not possible to use a mobile phone to fuse images. In addition, the multimedia communication need a good network connection and bandwidth. In this paper, we solve this problem by proposing an image fusion strategy and mobile data offloading method based on cloud computing platform. We design a cloud computing environment to fuse the images captured by the mobile phone where mobile terminal uploads and downloads images to the cloud through 5G signal. And a continuous time Markov model is applied to offload the mobile network data. We fuse the original images to all-in-focus image and 3D stereo image based on Non Subsampled Contourlet Transform and Detail-preserving & Content-aware Variational multiple images fusion method, respectively. The experimental results show that the proposed image fusion and data offloading method achieves satisfactory image quality and execution performance.