{"doi":"10.1109/lsp.2011.2164791","title":"Unsharp Masking Sharpening Detection via Overshoot Artifacts Analysis","abstract":null,"journal":"IEEE Signal Processing Letters","year":2011,"id":686064,"datarank":0.6862066467755076,"base_score":4.574710978503383,"endowment":4.574710978503383,"self_citation_contribution":0.6862066467755076,"citation_network_contribution":0.0,"self_endowment_contribution":0.6862066467755076,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":96,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1014976,"name":"Yao Zhao","orcid":"0000-0001-8997-9670","position":1,"is_corresponding":false},{"id":1792421,"name":"Rongrong Ni","orcid":null,"position":2,"is_corresponding":false},{"id":1792423,"name":"Alex C. Kot","orcid":null,"position":3,"is_corresponding":false},{"id":50368,"name":"Gang Cao","orcid":"0000-0003-0761-7305","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Unsharp Masking Sharpening Detection via Overshoot Artifacts Analysis","abstract":"In this letter, we propose a new method in detecting unsharp masking (USM) sharpening operation in digital images. Overshoot artifacts are found to occur around side-planar edges in the sharpened images. Such artifacts, measured by a sharpening detector, can serve as a rather unique feature for identifying the previous performance of sharpening operation. Test results on photograph images with regard to various sharpening operators show the effectiveness of our proposed method.","is_dataset_classified":null,"base_score":4.574710978503383,"endowment":4.574710978503383,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"26207759","pmcid":null,"openalex_id":"https://openalex.org/W2136313643","authors":[],"funders":[],"total_grants":0,"fwci":4.8919,"citation_percentile":0.96149807,"influential_citations":0,"citation_trend":[{"year":2013,"count":6},{"year":2014,"count":12},{"year":2015,"count":4},{"year":2016,"count":9},{"year":2017,"count":6},{"year":2018,"count":9},{"year":2019,"count":14},{"year":2020,"count":10},{"year":2021,"count":11},{"year":2022,"count":2},{"year":2023,"count":4},{"year":2024,"count":7},{"year":2025,"count":1}],"oa_status":"closed","license":"https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html","oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx5/97/5971999/05983401.pdf?arnumber=5983401","host_type":"publisher"},{"url":"https://doi.org/10.1109/lsp.2011.2164791","host_type":"journal"}],"fields_of_study":["Digital Media Forensic Detection","Image Processing Techniques and Applications","Wood and Agarwood Research"],"mesh_terms":[],"keywords":["Sharpening","Unsharp masking","Masking (illustration)","Artificial intelligence","Computer science","Computer vision","Overshoot (microwave communication)","Enhanced Data Rates for GSM Evolution","Pattern recognition (psychology)","Image (mathematics)","Image processing","Telecommunications"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-18T18:26:59.935809Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}