Destriping method for infrared images based on wavelet domain unidirectional variational and improved Perona Malik model
Infrared imagery is widely used in military, industry, and medicine. Stripe noise frequently affects the quality of infrared images. This study introduces a method that combines wavelet domain unidirectional variation (UV) and an enhanced Perona Malik (PM) model to remove stripes. The method involves wavelet decomposition to isolate components, UV optimization for the approximate part, and the improved PM model for the vertical part. By merging the processed components back, stripe-free infrared images are obtained, as confirmed by experimental validation.
Authors
- Hao Li (ORCID: https://orcid.org/0000-0002-6336-8772)
- Qun Li (ORCID: https://orcid.org/0000-0002-1620-8784)
- Yucun Zhang (ORCID: https://orcid.org/0000-0001-5784-7884)
- Xianbin Fu (ORCID: https://orcid.org/0000-0002-3423-2294)
Institutions
- Yanshan University (CN)
- Hebei University of Environmental Engineering (CN)
- Institute of Electrical Engineering (CN)
Publication Details
- Journal
- Applied Optics
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1364/ao.532544
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00