Texture-adaptive hyperspectral video acquisition system with a spatial light modulator

Xiaojing Fang; Jiao Feng; Yongjin Wang

doi:10.1117/12.2071445

29 October 2014 Texture-adaptive hyperspectral video acquisition system with a spatial light modulator

Xiaojing Fang, Jiao Feng, Yongjin Wang

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92730F (2014) https://doi.org/10.1117/12.2071445
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

We present a new hybrid camera system based on spatial light modulator (SLM) to capture texture-adaptive high-resolution hyperspectral video. The hybrid camera system records a hyperspectral video with low spatial resolution using a gray camera and a high-spatial resolution video using a RGB camera. The hyperspectral video is subsampled by the SLM. The subsampled points can be adaptively selected according to the texture characteristic of the scene by combining with digital imaging analysis and computational processing. In this paper, we propose an adaptive sampling method utilizing texture segmentation and wavelet transform (WT). We also demonstrate the effectiveness of the sampled pattern on the SLM with the proposed method.

Citation Download Citation

Xiaojing Fang, Jiao Feng, and Yongjin Wang "Texture-adaptive hyperspectral video acquisition system with a spatial light modulator", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92730F (29 October 2014); https://doi.org/10.1117/12.2071445

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