Single-pixel Imaging Theory And Its Applications In Optical Field Imaging And Optical Information Coding

With the development of science and technology,low-cost,high-resolution and low-power imaging technologies have very large application requirements in hyperspectral,ultra-fast,high-dimensional and large-field-of-view imaging.Most of the traditional imaging methods use high-resolution area array camera to measure the object directly.However,the fixed optical path and direct imaging methods are not sufficient to meet the diversified imaging requirements.How to expand the existing scheme to meet the diversified requirements becomes an urgent problemIn computational imaging,the acquired features are used to reconstruct the target object by numerical calculation,which expands the imaging range and can solve the limitation in traditional direct imaging,such as imaging dimension,diffraction limit,imaging speed.Single-pixel imaging,as a novel computational imaging scheme,compresses two-dimensional images into time-varying detections by structured illimitation.Combined with multiplexing technologies,single pixel imaging method can realize three-dimensional,ultra-fast,hyper-spectral,super-resolution imaging with limited detection devices.Therefore,single-pixel imaging has attracted widespread attention from researchers,and developed a series of new imaging theories and schemesThis thesis first introduces the generation and development of single-pixel imaging theory.Then,single-pixel imaging theory under different sampling basis is introduced based on two different reconstruction theories,correlation and compressive sensing theories.It also introduces the development status of single pixel imaging in the field of noise suppression,detection of complex light field and optical information securityIn Chapter 3,based on single-pixel compressive imaging,the thesis analyzes the impact of multiplicative noise and additive noise on the imaging quality.For multiplicative noise,we propose a novel normalized imaging scheme for compressive imaging and analyze its actual performance experimentally.For additive noise,we analyze the different noise responses in different optimization processes.Towards different iterative processes,a new matrix design method to reduce the effect of additive noise is proposed.It is believed that the related discussions can provide a new reference for noise suppression and measurement matrix design in compressive imagingIn Chapter 4,based on the theory of single pixel imaging and phase retrieval,a complex optical field imaging scheme is proposed using pure-phase structured light.In proposed scheme,only a single point detector is required to reconstruct the complex optical field without any prior conditions.We also proposed a measurement matrix design strategy aims to increase the signal-to-noise ratio and reconstruction stability in the practical experiment.According to the requirements of redundant sampling,we also addressed the sampling ratio requirement of proposed scheme at the end of the work In order to improve the imaging speed of single-pixel complex light field imaging,we explore the possibility of complex-amplitude detection in the case of pure amplitude modulation with the help of spatial super-pixel technology,the limitation of proposed scheme is also discussed under practical experiment environmentIn Chapter 5,the modulation characteristics of single-pixel imaging are very suitable for signal coding.Based on this advantage,the single-pixel optical image encryption and authentication systems are proposed,the differences between single-pixel coding and imaging are also pointed out.A multi-image encryption method based on single-pixel compressive imaging is proposed using the sparse information of ceded images.Then,a hyperplane secret sharing algorithm and a generalized multiplexing single pixel imaging scheme are proposed.Combined these two technologies,a multi-level optical authentication scheme is achieved to realize the key management in optical authentication processFinally,the highlights and innovations of this article are summarized,the improvements and future work are also discussed.