Light field creating and imaging with different order intensity derivatives

Yu Wang; Huan Jiang

doi:10.1117/12.2071428

29 October 2014 Light field creating and imaging with different order intensity derivatives

Yu Wang, Huan Jiang

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92730Z (2014) https://doi.org/10.1117/12.2071428
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Microscopic image restoration and reconstruction is a challenging topic in the image processing and computer vision, which can be widely applied to life science, biology and medicine etc. A microscopic light field creating and three dimensional (3D) reconstruction method is proposed for transparent or partially transparent microscopic samples, which is based on the Taylor expansion theorem and polynomial fitting. Firstly the image stack of the specimen is divided into several groups in an overlapping or non-overlapping way along the optical axis, and the first image of every group is regarded as reference image. Then different order intensity derivatives are calculated using all the images of every group and polynomial fitting method based on the assumption that the structure of the specimen contained by the image stack in a small range along the optical axis are possessed of smooth and linear property. Subsequently, new images located any position from which to reference image the distance is Δz along the optical axis can be generated by means of Taylor expansion theorem and the calculated different order intensity derivatives. Finally, the microscopic specimen can be reconstructed in 3D form using deconvolution technology and all the images including both the observed images and the generated images. The experimental results show the effectiveness and feasibility of our method.

Citation Download Citation

Yu Wang and Huan Jiang "Light field creating and imaging with different order intensity derivatives", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92730Z (29 October 2014); https://doi.org/10.1117/12.2071428

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KEYWORDS

3D image reconstruction

3D modeling

3D image processing

Luminescence

Deconvolution

Image restoration

3D image restoration

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