Abstract
Measuring optical transmission matrix has enabled image detection through scattering media, however its retrieved resolution is severely limited by the number of measurements. In this paper, we introduce super resolution reconstruction into transmission matrix based imaging scheme, to some extent bypassed this limitation. We demonstrate all detailed information of high-resolution subpixel shifting target are preserved in its corresponding speckle signals. And through phase conjugate reconstruction one can get target's low-resolution projection images with accuracy. The final high-resolution image is achieved by subpixel registration and bilinear interpolation operations. The feasibility of the proposed method is theoretically analyzed and proved by laboratory experiments.
Highlights
Light wave propagation through materials with refractive index heterogeneities suffer from strongly scattering, which invalidate traditional imaging methods
Considering the retrieved resolution is equivalent to the number of calibrated input modes [4], transmission matrix (TM) based imaging methods must trade off the measurement time and the reconstructed resolution
Virtual patterns have been used as the original target, which are loaded on the spatial light modulator (SLM)
Summary
Light wave propagation through materials with refractive index heterogeneities suffer from strongly scattering, which invalidate traditional imaging methods. To calibrate a system for its TM requires both the scanning of input modes and the recording of each input mode’s complex field at the output This process is rather time-consuming during that needs the scattering sample stay stable. Considering the retrieved resolution is equivalent to the number of calibrated input modes [4], TM based imaging methods must trade off the measurement time and the reconstructed resolution. It’s not always effective because decreasing the pixel size reduce the amount of lights reaching single pixel, which will induce more shot noise and so that the image quality will be degraded Another effective way is the resolution enhancement, often cited as super-resolution (SR) reconstruction, which aims to obtain high-resolution (HR) image from single or multi low-resolution (LR) images.
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