A new HSI denoising method via interpolated block matching 3D and guided filter

PeerJ

article

Ping Xu¹  Bingqiang Chen¹  Jingcheng Zhang¹  Lingyun Xue¹  Lei Zhu¹ 

[1] College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University

关键词: IBM3DGF;    BM3D;    Spectral characteristics;    HSI;   

DOI  :  10.7717/peerj.11642

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

A new hyperspectral images (HSIs) denoising method via Interpolated Block-Matching and 3D filtering and Guided Filtering (IBM3DGF) denoising method is proposed. First, inter-spectral correlation analysis is used to obtain inter-spectral correlation coefficients and divide the HSIs into several adjacent groups. Second, high-resolution HSIs are produced by using adjacent three images to interpolate. Third, Block-Matching and 3D filtering (BM3D) is conducted to reduce the noise level of each group; Fourth, the guided image filtering is utilized to denoise HSI of each group. Finally, the inverse interpolation is applied to retrieve HSI. Experimental results of synthetic and real HSIs showed that, comparing with other state-of-the-art denoising methods, the proposed IBM3DGF method shows superior performance according to spatial and spectral domain noise assessment. Therefore, the proposed method has a potential to effectively remove the spatial/spectral noise for HSIs.

【 授权许可】

CC BY