Adaptive sampling methods for millimeter-wave radiometric imaging based on visual saliency and block information weight

Taiyang Hu; Jinyu Zhang; Xiaolang Shao; Lei He; Mengxuan Xiao; Zelong Xiao

doi:10.1117/12.2601811

9 October 2021 Adaptive sampling methods for millimeter-wave radiometric imaging based on visual saliency and block information weight

Taiyang Hu, Jinyu Zhang, Xiaolang Shao, Lei He, Mengxuan Xiao, Zelong Xiao

Author Affiliations +

Proceedings Volume 11906, Infrared, Millimeter-Wave, and Terahertz Technologies VIII; 119060S (2021) https://doi.org/10.1117/12.2601811
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Conference Poster

Abstract

Due to the limitation of high sampling rate and large coding matrix, it often takes a long time to decode and reconstruct millimeter-wave radiometric images, which becomes a difficult problem for Compressed Sensing (CS) theory in the field of millimeter-wave radiometric imaging. In order to effectively reconstruct millimeter-wave images within the framework of block-based CS, the adaptive sampling methods based on visual saliency and block information weight are proposed in this paper. In view of the irrationality of allocating the same amount of encoded data to different image blocks in the traditional block-based CS, both the adaptive sampling method based on visual saliency and local variance weighted adaptive allocation, and the adaptive sampling method based on visual saliency and two-dimensional information entropy weighted adaptive allocation, are put forward and compared with other allocation methods. Some experimental results demonstrate that the proposed method can effectively improve the PSNR value of the reconstructed image. In addition, the reconstructed images with a low sampling rate are also in conformity with human vision.

Citation Download Citation

Taiyang Hu, Jinyu Zhang, Xiaolang Shao, Lei He, Mengxuan Xiao, and Zelong Xiao "Adaptive sampling methods for millimeter-wave radiometric imaging based on visual saliency and block information weight", Proc. SPIE 11906, Infrared, Millimeter-Wave, and Terahertz Technologies VIII, 119060S (9 October 2021); https://doi.org/10.1117/12.2601811

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