{"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/a-comprehensive-review-of-image-enhancement","title":"A Comprehensive Review of Image Enhancement Techniques","arxiv_id":"1003.4053","date":"2010-03-22","proceeding":null,"authors":["Raman Maini","Himanshu Aggarwal"],"abstract":"Principle objective of Image enhancement is to process an image so that\nresult is more suitable than original image for specific application. Digital\nimage enhancement techniques provide a multitude of choices for improving the\nvisual quality of images. Appropriate choice of such techniques is greatly\ninfluenced by the imaging modality, task at hand and viewing conditions. This\npaper will provide an overview of underlying concepts, along with algorithms\ncommonly used for image enhancement. The paper focuses on spatial domain\ntechniques for image enhancement, with particular reference to point processing\nmethods and histogram processing.","url_abs":"http://arxiv.org/abs/1003.4053v1","url_pdf":"http://arxiv.org/pdf/1003.4053v1.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":"a-comprehensive-review-of-image-enhancement","repo_url":"https://github.com/RayXie29/Image_Enhancement","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-enhancement","task_name":"Image Enhancement"}],"methods":[],"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}