Abstract
Optical imaging/tracking through scattering medium is a difficult challenge. We demonstrate a method using speckles with multiple bit depths to image objects through scattering medium. The image of the object can be reconstructed even if the speckles are binary. Speckles with different bit depths are obtained by quantifying the original speckle. And we discuss the application of binarized speckles in tracking moving object. The binarized speckles can be used to recover the track with high accuracy. The range of the object's motion can be much larger than the range of memory effect, as long as the object's size and the moving step are within the range of memory effect. Imaging and tracking with low bit depth have the potential to reduce the hardware requirements of camera and storage space of images.
Highlights
Optical imaging is one of the most important ways to obtain information
We show that using speckles with low bit depths to recover the object, which means the requirement of cameras’ hardware and the image storage space can be reduced
Object images can be recovered by speckle with a low bit depth, indicating that the cameras’ hardware requirement and the image storage space can be reduced
Summary
Optical imaging is one of the most important ways to obtain information. scattering media such as ground glasses, fog or biological tissues in the light path always affect image quality. Imaging based on the speckle auto-correlation method can obtain images of objects through a scattering medium without any prior information [9], [10]. Pattern is identical to the auto-correlation of the object‘s image, so the object’s image can be reconstructed by an iterative phase-retrieval algorithms [19]–[21] Another method is measurement of the point spread function (PSF ) followed to recover the image with decorrelation techniques [22], [23]. We implement a conventional speckle auto-correlation method to reconstruct the object’s image and apply uniform quantization [27], [28] on the raw data to achieve sampling compression of bit depth. We demonstrated that binarized speckles have the same accuracy compared to high bit depth speckles in the application of speckle cross-correlation tracking
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