An Infrared Stripe Noise Removal Method Based on Multi-Scale Wavelet Transform and Multinomial Sparse Representation

doi:10.1155/2022/4044071

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	An Infrared Stripe Noise Removal Method Based on Multi-Scale Wavelet Transform and Multinomial Sparse Representation
	M. X. Li; S. K. Nong; T. Nie; C. S. Han and L. Huang
刊名	Computational Intelligence and Neuroscience
	2022
卷号	2022 页码:18
ISSN号	1687-5265
DOI	10.1155/2022/4044071
英文摘要	The non-uniformity present in the infrared detector and readout circuit leads to significant stripe noises in the infrared images. The effect of these stripe noises on infrared images brings trouble to the subsequent research. The currently available algorithms for removing infrared streak noises cannot effectively protect the non-stripe information while removing the stripe noise. Compared with these algorithms, our algorithm uses a multi-scale wavelet transform to concentrate the streak noise by frequency into vertical components of different scale levels. Then, our algorithm analyzes the unique properties of the streak noise compared to the ideal vertical component. The denoising model of the vertical component at each level is established with its multinomial sparsity, and the streak noise is removed by the alternating direction method of multipliers (ADMM) algorithm for optimal calculation. To prove the usefulness of our algorithm, we carried out a large series of real experiments, comparing it with the most advanced algorithms in terms of both subjective determination and objective indices. The experimental results fully demonstrate the superiority and effectiveness of our algorithm.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/66762]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	M. X. Li,S. K. Nong,T. Nie,et al. An Infrared Stripe Noise Removal Method Based on Multi-Scale Wavelet Transform and Multinomial Sparse Representation[J]. Computational Intelligence and Neuroscience,2022,2022:18.
APA	M. X. Li,S. K. Nong,T. Nie,&C. S. Han and L. Huang.(2022).An Infrared Stripe Noise Removal Method Based on Multi-Scale Wavelet Transform and Multinomial Sparse Representation.Computational Intelligence and Neuroscience,2022,18.
MLA	M. X. Li,et al."An Infrared Stripe Noise Removal Method Based on Multi-Scale Wavelet Transform and Multinomial Sparse Representation".Computational Intelligence and Neuroscience 2022(2022):18.