Low Noise Lensless Imaging Method

Abstract

The invention discloses a low-noise lens-free imaging method, comprising: after the detector is powered on, recording the light emitted by the target and passing through the coding template, and reconstructing the image of the target after the output pattern is correlated with the coding pattern; The effective array size of the detector is larger than half of the pattern size of the coding template; The distribution of the square unit is represented by a matrix generated by the outer product of two pseudo-random vectors composed of 0 and 1. The 0 and 1 in the matrix represent that the encoding pattern cannot Light-transmitting and light-transmitting, the number of block units that cannot pass through light is greater than the number of block units that can pass through light. This scheme is based on a specific encoding template, which can solve the problem of sensitivity to noise of lensless cameras based on URA templates, thereby improving the signal-to-noise ratio of reconstructed images.

Description

technical field [0001] The invention relates to the technical field of lensless imaging, in particular to a low-noise lensless imaging method. Background technique [0002] Lensless imaging is a technology that uses a special template instead of a traditional lens to achieve indirect imaging. The principle is that after the light emitted by the luminous point passes through the template, a corresponding shadow pattern is projected on the detector. The shadow pattern records the position and luminous intensity information of the luminous point, and the position is different, and the pattern is also different. There is no correlation between the different patterns. The detector records the superimposed pattern, and the intensity of the light-emitting points at different positions can be calculated through correlation calculation, so as to obtain the corresponding image. [0003] There are many forms of templates, including Fresnel zone plate, URA, random binary coding templa...

AI Technical Summary

Problems solved by technology

Half of its area is light-transmitting and has a high luminous flux. However, the URA-based lensless camera is more sensitive to noise, which will affect the signal-to-noise ratio of the final reconstructed image.

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