{"url":"/method/deepir","slug":"deepir","name":"DeepIR","full_name":"DeepIR","full_name_withheld":false,"description_markdown":"**DeepIR**, or **Deep InfraRed image processing**, is a thermal image processing framework for recovering high quality images from a very small set of images captured with camera motion. Enhancement is achieved by noting that camera motion, which is usually a hinderance, can be exploited to our advantage to separate a sequence of images into the scene-dependent radiant flux, and a slowly changing scene-independent non-uniformity. DeepIR combines the physics of microbolometer sensors, with powerful regularization capabilities by neural network-based representations. DeepIR relies on the key observation that jittering a camera, while unwanted in visible domain, is highly desirable in the thermal domain as it allows an accurate separation of the sensor-specific non-uniformities from the scene’s radiant flux.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Thermal Image Processing via Physics-Inspired Deep Networks","paper":"/paper/thermal-image-processing-via-physics-inspired","first_author":"Vishwanath Saragadam","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/thermal-image-processing-via-physics-inspired"},"source":{"url":"https://arxiv.org/abs/2108.07973v2","title":"Thermal Image Processing via Physics-Inspired Deep Networks","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Thermal Image Processing Models","url":"/methods/category/thermal-image-processing-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/thermal-image-processing-via-physics-inspired","title":"Thermal Image Processing via Physics-Inspired Deep Networks","date":"2021-08-18","arxiv_id":"2108.07973","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/denoising","name":"Denoising","papers":1},{"task":"/task/sensor-modeling","name":"Sensor Modeling","papers":1},{"task":"/task/super-resolution","name":"Super-Resolution","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2021","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/deepir"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}