Optical imaging – Pattern discriminationThis report deals with the effects of diffraction and noise on the ability of an optical system to discriminate between two known incoherent intensity distributions. For a particular model of the optical detection process, the optimum discrimination procedure is ...
In near-field scanning optical microscopy, a light source or detector with dimensions less than the wavelength (λ) is placed in close proximity (<λ/50) to a sample to generate images with resolution better than the diffraction limit. A near-field probe has been developed that yields a reso...
We examine the inverse problem of retrieving sample refractive index information in the context of optical coherence tomography. Using two separate approaches, we discuss the limitations of the inverse problem which lead to it being ill-posed, primarily
diffractionA relationship (isomorphism) that exists between coherent optical systems with and without lenses is described. This relationship turns out to be very simple and very useful for the design and analysis of laser optical systems. The isomorphism is derived by Fourier analyses. A study of ...
In addition, some compression parameters naturally existed in the proposed Fresnel diffraction optical setup are also needed for decompression. Moreover, the proposed method can also further compress the plaintext if a slight increment of information loss is allowed. Besides, the realization of this ...
2 LIGHT FIELD IMAGING THEORY As a classic optical imaging structure that encoding 3D scenes into the 4D LF data, the MLA-LF imaging theory is the foundation and support for a wide range of LF applications and innovations. Understanding the sampling geometry is a key factor in exploiting high-...
Diffraction limit is usually a thorny problem in an optical inspection system. In this investigation, a model-based deconvolution technique was developed to recover diffraction-limited images, where images with sizes smaller than the diffraction limit could be recognized. Experiments were carried out wit...
diffraction imaging (CDI)4which is the most commonly used term in X-ray optics and non-optical analogs such as electrons and other particles, and wavefront sensing in adaptive optics (AO)5for astronomy and optical communications. Here, we collectively refer to the way ofcalculating the phase ...
limit implied geometric lens imaging (DLI-GLI) model considering diffraction effect on a finite number of pixels in elemental image (EI)and 3D depth priority-oriented integral imaging (DPO-II) showing variations of the lateral resolution (LR) within enhanced depth of focus (DoF) range graphically...
Convolutional neural networks are an important category of deep learning, currently facing the limitations of electrical frequency and memory access time in massive data processing. Optical computing has been demonstrated to enable significant improvemen