{"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/fully-convolutional-measurement-network-for","title":"Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction","arxiv_id":"1712.01641","date":"2017-11-21","proceeding":null,"authors":["Jiang Du","Xuemei Xie","Chenye Wang","Guangming Shi","Xun Xu","Yu-Xiang Wang"],"abstract":"Recently, deep learning methods have made a significant improvement in\ncompressive sensing image reconstruction task. In the existing methods, the\nscene is measured block by block due to the high computational complexity. This\nresults in block-effect of the recovered images. In this paper, we propose a\nfully convolutional measurement network, where the scene is measured as a\nwhole. The proposed method powerfully removes the block-effect since the\nstructure information of scene images is preserved. To make the measure more\nflexible, the measurement and the recovery parts are jointly trained. From the\nexperiments, it is shown that the results by the proposed method outperforms\nthose by the existing methods in PSNR, SSIM, and visual effect.","url_abs":"http://arxiv.org/abs/1712.01641v2","url_pdf":"http://arxiv.org/pdf/1712.01641v2.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":"fully-convolutional-measurement-network-for","repo_url":"https://github.com/jiang-du/Perceptual-CS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"compressive-sensing","task_name":"Compressive Sensing"},{"task_slug":"image-reconstruction","task_name":"Image Reconstruction"},{"task_slug":"ssim","task_name":"SSIM"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.01641","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}