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Model-based adaptive enhancement of far infrared image sequences
Tang, M; Ma, SD; Xiao, J
Source PublicationPATTERN RECOGNITION LETTERS
2000-08-01
Volume21Issue:9Pages:827-835
SubtypeArticle
AbstractTwo enhancement algorithms, the spatial and spatiotemporal homomorphic filtering (SHF and STHF), were proposed in (Highnam, R., Brady, M., 1997. IEEE Trans. Pattern Anal. Machine Intell. 19, 410-415) to enhance far infrared images based upon a far infrared imaging model. In this paper, we theoretically and experimentally prove that the enhanced results with SHF are in general smoother than those with STHF, although STHF may reduce the processing time greatly in comparison to SHF. Based on this conclusion, an adaptive spatiotemporal homomorphic filtering (ASTHF) algorithm is proposed. The adaptive factor of ASTHF is also discussed in detail to obtain the trade off between smoothness and convergence time. (C) 2000 Elsevier Science B.V. All rights reserved.
KeywordImage Enhancement Far Infrared Imagery Adaptive Filtering Homomorphic Filtering Spatiotemporal Filtering Prometheus
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000088706900004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9808
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Tang, M,Ma, SD,Xiao, J. Model-based adaptive enhancement of far infrared image sequences[J]. PATTERN RECOGNITION LETTERS,2000,21(9):827-835.
APA Tang, M,Ma, SD,&Xiao, J.(2000).Model-based adaptive enhancement of far infrared image sequences.PATTERN RECOGNITION LETTERS,21(9),827-835.
MLA Tang, M,et al."Model-based adaptive enhancement of far infrared image sequences".PATTERN RECOGNITION LETTERS 21.9(2000):827-835.
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