Low-noise non-lens imaging method

Abstract

The invention discloses a low-noise non-lens imaging method, which comprises the following steps: after a detector is powered on, recording light rays emitted by a target and passing through a coding template, and constructing a target image after an output pattern is subjected to coding pattern relevant processing, wherein effective area array size of the detector is larger than the pattern size of the coding template by half; the coding template is a coding pattern formed through etching based on etching technique after a metal film is plated on a glass substrate; the coding pattern is formed by a plurality light-transmitting and light-proof two kinds of same-size square units, the distribution of the square units being expressed by a matrix generated based on an outer product of two pseudo-random vectors formed by 0 and 1, the 0 and 1 in the matrix indicating light non-transmitting and light transmitting in the coding pattern respectively; and the number of the light-proof square units is larger than that of the light-transmitting square units. The method is based on a specific coding template, and can solve the problem that a non-lens camera based on a URA template is sensitive to noise, thereby improving signal-to-noise ratio of the reconstructed image.

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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