Medical Image Super Resolution- Fourier Ptychographic Microscopy

Parimala, Kancharla and Channappayya, Sumohana (2018) Medical Image Super Resolution- Fourier Ptychographic Microscopy. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Fourier Ptychographic Micrcoscopy(FPM) is a computational imaging technique for improving the resolution of a microscope. Fourier ptychography can be implemented as a phase retrieval optimiza- tion algorithm that iteratively solves for high resolution spectrum from low resolution images. In prior art, all the low resolution images were considered equally in the optimization. In this thesis, We propose a weighted optimization algorithm to enhance the quality of reconstruction with the same convergence speed. Our method is motivated by the observation that bright field and dark field low resolution images have signifficantly different pixel intensities. Therefore, We weight their estimated error differently in the optimization. Though the proposed method is both conceptually and computationally simple, it dramatically improved the quality of reconstruction. We have also applied deep convolutional neural network for reconstructing the high resolution image from the set of low resolution images. We have showed improvement in terms of SSIM and PSNR.

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