Abstract
Coded aperture-based compression has proven to be an effective approach for high-density cold data storage. Nevertheless, its limited decoding speed represents a significant challenge for its broader application. We introduce a novel, to the best of our knowledge, decoding method leveraging the fast and flexible denoising network (FFDNet), capable of decoding a coded aperture-based compressive data page within 30.64 s. The practicality of the method has been confirmed in the decoding of monochromatic photo arrays, full-color photos, and dynamic videos. In experimental trials, the variance between decoded results obtained via the FFDNet-based method and the FFDNet-absent method in terms of average PSNR is less than 1 dB, while realizing a decoding speed enhancement of over 100-fold when employing the FFDNet-based method.
© 2024 Optica Publishing Group
Full Article | PDF ArticleMore Like This
Zehao He, Kexuan Liu, Mao Fan, and Liangcai Cao
Opt. Lett. 48(16) 4304-4307 (2023)
Kejun Wu, Qiong Liu, Kim-Hui Yap, and You Yang
Opt. Lett. 49(3) 562-565 (2024)
Runqiu Luo, Miao Cao, Xing Liu, and Xin Yuan
Opt. Lett. 49(2) 186-189 (2024)