Research On Image Processing And Application Based On Compressive Sensing

With the rapid development of the Internet,a variety of social networking websites and E-commerce are more and more popular.However,the massive image data are stored directly to the server,therefore increasing the server's storage management pressure,especially when some of images in the server are rarely used,the storage resource is wasted seriously.In addition,the security of cloud storage backup data should be strengthened.Therefore,more effects should be put into image compression,storage,and encryption.The development of the Internet facilitates the storage and transportation of digital works,but it is also convenient for duplication.Digital watermarking is an effective way to protect the copyright of digital works.How to improve the transparency and robustness of digital watermarking is the key to digital works piracy.Compressive sensing is used as a new sampling theory.By exploiting the sparse characteristics of the signal,the samples are obtained by random sampling under the condition of much smaller than the Nyquist sampling rate,and then the signal is reconstructed by reconstruction algorithm.This paper mainly focuses on image compression storage and encryption,as well as digital watermarking based on compressive sensing.The main work is as follows: 1)Effects of reconstructing images using different transform bases,measurement matrices and reconstruction algorithms are compared based on the GUI system and the optimal combination is obtained.2)Based on the uniqueness of the compression measurement matrix and its necessity in the reconstruction algorithm,the image storage encryption GUI system is realized based on the best combination of transform base,measurement matrix and reconstruction algorithm.The security of images is improved and the size of the image storage is decreased by using the compressive sensing.3)Combining compression sensing and digital watermarking,the digital watermarking method based on compressive sensing is obtained to improve the robustness and transparency of digital watermarking,and compared with traditional methods.4)Bayesian compressive sensing is applied to digital watermarking,and compared with the method based on compressive sensing to show its superiority;5)Signal and image reconstructions based on compressive sensing are achieved in mobile Android devices,to save the storage space for mobile cloud data backup.