Lensless Hyperspectral Phase Retrieval via Alternating Direction Method of Multipliers and Spectral Proximity Operators

Engineering Proceedings

article

Igor Shevkunov¹  Vladimir Katkovnik¹  Karen Egiazarian¹ 

[1] Computational Imaging Group, Faculty of Information Technology and Communication Sciences, Tampere University

关键词: hyperspectral imaging;    sparse representation;    noise filtering;    phase imaging;   

DOI  :  10.3390/HMAM2-14146

来源: mdpi

【 摘 要 】

We consider the application of a recently developed hyperspectral broadband phase retrieval (HSPhR) technique for spectrally varying object and modulation phase masks at 100 spectral components. The HSPhR method utilizes advanced techniques such as Spectral Proximity Operators and ADMM to retrieve complex-domain spectral components from multiple spectral observations. These techniques filter out noisy observations and strike a balance between noisy intensity observations and their predicted counterparts, resulting in accurate retrieval of the broadband hyperspectral phase even for low signal-to-noise ratio components. Both simulation and physical experiments have confirmed the effectiveness of this approach.

【 授权许可】

Unknown