{"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/low-cost-edge-sensing-for-high-quality","title":"Low Cost Edge Sensing for High Quality Demosaicking","arxiv_id":"1806.00771","date":"2018-06-03","proceeding":null,"authors":["Yan Niu","Jihong Ouyang","Wanli Zuo","Fuxin Wang"],"abstract":"Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking\nprocedure to form full RGB images. As today's camera users generally require\nimages to be viewed instantly, demosaicking algorithms for real applications\nmust be fast. Moreover, the associated cost should be lower than the cost saved\nby using CFA. For this purpose, we revisit the classical Hamilton-Adams (HA)\nalgorithm, which outperforms many sophisticated techniques in both speed and\naccuracy. Inspired by HA's strength and weakness, we design a very low cost\nedge sensing scheme. Briefly, it guides demosaicking by a logistic functional\nof the difference between directional variations. We extensively compare our\nalgorithm with 28 demosaicking algorithms by running their open source codes on\nbenchmark datasets. Compared to methods of similar computational cost, our\nmethod achieves substantially higher accuracy, Whereas compared to methods of\nsimilar accuracy, our method has significantly lower cost. Moreover, on test\nimages of currently popular resolution, the quality of our algorithm is\ncomparable to top performers, whereas its speed is tens of times faster.","url_abs":"http://arxiv.org/abs/1806.00771v2","url_pdf":"http://arxiv.org/pdf/1806.00771v2.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":"low-cost-edge-sensing-for-high-quality","repo_url":"https://github.com/shmilyo/Low-Cost-Edge-Sensing-for-High-Quality-Demosaicking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"demosaicking","task_name":"Demosaicking"},{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}