24 October 2017 The application of image super-resolution reconstruction based on compressed sensing in the intelligent mobile terminal
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104621U (2017) https://doi.org/10.1117/12.2284270
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
The image super-resolution technology has a wide range of applications and development prospects due to hardware limitation and various kinds of degradations of the digital imaging system. However, it is a difficult problem to share and promote it based on the rapid development of web technology. In this paper, we proposed a scheme to apply the technology of image super-resolution in intelligent mobile terminal by sharing way. Firstly, the algorithm of single image super-resolution reconstruction based on Compressed Sensing is proposed and deployed to the Cloud Host in the server terminal. Then, the service background is built by using the thinkPHP framework and the site operation environment is constructed combined with the XAMPP toolkit, so the algorithm can be called and run by the script files of batch processing. Correspondingly, in intelligent mobile terminal, the preprocess image can be uploaded asynchronously to the Apache Server of the Cloud Host through designing the plugin by HTML5. In addition, the plugin of the Boostrap is used and the concept of Responsive Web Design is utilized subsequently, so the mobile terminal has good interactivity. Finally, image super-resolution can be done by interrupt request, and the result can be obtained dynamically in intelligent mobile terminal. Experimental results indicate that this scheme makes it possible to apply the latest theory in mobile terminal, which is feasible to solve the problem of poor quality of image in the field of engineering where the imaging process is not ideal.
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Zhenmin Zhu, Fei Teng, Haolin Sun, Yujiao Tang, Tongyu Wan, Pei Lu, Xiaoyong Liu, "The application of image super-resolution reconstruction based on compressed sensing in the intelligent mobile terminal", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621U (24 October 2017); doi: 10.1117/12.2284270; https://doi.org/10.1117/12.2284270
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