{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/multi-scale-deep-compressive-sensing-network","title":"Multi-Scale Deep Compressive Sensing Network","arxiv_id":"1809.05717","date":"2018-09-15","proceeding":null,"authors":["Thuong Nguyen Canh","Byeungwoo Jeon"],"abstract":"With joint learning of sampling and recovery, the deep learning-based\ncompressive sensing (DCS) has shown significant improvement in performance and\nrunning time reduction. Its reconstructed image, however, losses high-frequency\ncontent especially at low subrates. This happens similarly in the multi-scale\nsampling scheme which also samples more low-frequency components. In this\npaper, we propose a multi-scale DCS convolutional neural network (MS-DCSNet) in\nwhich we convert image signal using multiple scale-based wavelet transform,\nthen capture it through convolution block by block across scales. The initial\nreconstructed image is directly recovered from multi-scale measurements.\nMulti-scale wavelet convolution is utilized to enhance the final reconstruction\nquality. The network is able to learn both multi-scale sampling and multi-scale\nreconstruction, thus results in better reconstruction quality.","url_abs":"http://arxiv.org/abs/1809.05717v2","url_pdf":"http://arxiv.org/pdf/1809.05717v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"multi-scale-deep-compressive-sensing-network","repo_url":"https://github.com/AtenaKid/MS-DCSNet-Release","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"compressive-sensing","task_name":"Compressive Sensing"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}