Lens-free camera image reconstruction method based on coding mask and Learned-TSVD algorithm

Abstract

In order to solve the technical problems that a traditional lens-free camera image reconstruction method is relatively sensitive to noise and relatively low in system depth of field, the invention provides a lens-free camera image reconstruction method based on a coding mask and a Learned-TSVD algorithm. The method comprises the following steps: encoding a propagation process of light by using an encoding mask, converting an original large-scale system measurement matrix into a left system measurement matrix and a right system measurement matrix which are small in scale by utilizing the separable characteristic of the coding mask and a TSVD algorithm; thirdly, constructing neural network training to circularly train the left and right system measurement matrixes, and reducing an error of an approximate operation on a final result; and finally reconstructing an image through the TSVD algorithm and a regularization algorithm. According to the method, the learned system measurement matrixes are used for subsequent calculation, so that the noise influence resistance of the whole reconstruction process is higher; scene images at other distances can be well reconstructed by using the learned system measurement matrixes, and the problem of low depth of field of other reconstruction algorithms is solved.

Description

Technical field [0001] The present invention relates to the field of imaging techniques, and more particularly to a reconstruction method of a scene image captured based on an encoded mask and a lens-TSVD algorithm (i.e. no lens imaging system). Background technique [0002] The lens-free imaging technology is an optical device such as a spatial light modulator, a diffractive optical device, an encoded mask, and the like, which satisfies the thickness of thin, light weight, low energy consumption and low cost constraints to achieve light measurement. New imaging techniques reproduced with scene reproduction. [0003] The image collected by the lens-free encoded mask imaging system is a non-focus image, which has an indiscriminate nature before using a specific algorithm for reconstruction, so it can effectively protect the secret contents included in the image video data measurement process. Encryption has a very broad application prospect. [0004] At present, the image reconstr...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problems that the traditional lensless camera image reconstruction method is more sensitive to noise and the system depth of field is low, the present invention provides a lensless camera image reconstruction method based on coding mask and Learned-TSVD algorithm

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