Showing papers in "Optics and Lasers in Engineering in 2020"

TL;DR: A new era in which strict coherence and interferometry are no longer prerequisites for quantitative phase imaging and diffraction tomography is highlighted, paving the way toward new generation label-free three-dimensional microscopy, with applications in all branches of biomedicine.

TL;DR: An overview of these state-of-the-art MFPP works is presented by analyzing and comparing the measurement principles, systems structures, and key performance indexes such as the accuracy, field of view (FOV), and speed.

TL;DR: An efficient visually meaningful image compression and encryption (VMICE) scheme is proposed by combining compressive sensing (CS) and Least Significant Bit (LSB) embedding, robust to known-plain text and chosen-plaintext attacks.

TL;DR: An image encryption algorithm based on a hidden attractor chaos system and Knuth–Durstenfeld algorithm and the scheme possesses better encryption performances and can be applied in secure image communication fields.

TL;DR: The simulation results demonstrate that the proposed image encryption algorithm based on the PTSTFrFT is secure and robust enough against the common attacks.

TL;DR: The current status of FPP techniques, the major challenges still facing in the field, and the perspectives on the future of F PP techniques are presented.

TL;DR: The experimental simulation results indicate that the improper fractional-order laser chaotic system not only has the abundant dynamic characteristics, but also has better security when it is used to image encryption algorithm.

TL;DR: Fourier ptychographic diffraction tomography (FPDT) as mentioned in this paper iteratively stitches together variably illuminated, low-resolution images acquired with a low-numerical aperture (NA) objective in 3D Fourier space to create a wide field-of-view (FOV), high-resolution, depth-resolved complex refractive index (RI) image across large volumes.

TL;DR: The phase truncation and the bitwise XOR operation, as nonlinear processes, improve the robustness of the presented multi-image encryption scheme against chosen-plaintext attack.

TL;DR: The 2DNLCML system contains good features such as ergodic pseudo-random sequence, less periodic windows in bifurcations and larger range of parameters in chaotic dynamics, which is more suitable for image encryption.

TL;DR: A new chaotic image encryption, which is based on the coupled map lattices and DNA diffusion sequences, and it's also a new one-time pad scheme that has good security and can resist common attacks.

TL;DR: The row and column permutation before compressive sensing successfully improves the compression effect with low compression radio, and the diffusion operation improves the security of this algorithm.

TL;DR: In this paper, a powder-scale multi-physics model using the Finite Volume Method (FVM) is developed to study the direct energy deposition process and the geometrical characteristics of a single cladding track can be rapidly predicted.

TL;DR: In this paper, ultrasonic vibration was introduced during laser cladding Ni-60%WC-0.8%La2O3 coatings in order to investigate the microstructure, elemental distribution and properties of the cladding coatings, as well as the morphology of WC particles.

TL;DR: An improved pixel scanning scrambling method with chaos is presented, which causes positional changes of all pixel points in one encryption round so that the algorithm's time and space complexity are considerably reduced.

TL;DR: In this paper, a CH4-QEPAS-based methane detection using a high power continuous wave (CW), single mode diode laser with an emission wavelength at 2.3 μm was demonstrated.

TL;DR: An image encryption scheme that is based on hyper-chaos and quantum coding, based on a novel enhanced quantum representation (NEQR), and a novel scrambling method based on quantum location coding that is used to further scramble the diffused image to obtain the final cipher-image are proposed.

TL;DR: It is the intention of this review to consider some classical operating rules of planar PIV from today’s perspective and to prove their validity.

TL;DR: In the last three decades of developments, the technique of Digital Photoelasticity (DP) has been stabilized and the methodology has successfully applied to a wide range of problems in Engineering and science as discussed by the authors.

TL;DR: This review identifies four different trends of relevance in the context of biomedical applications, namely QPI-cytometry, development of point-of-care devices, tomographic phase reconstruction techniques and learning-based approaches, providing a current insight in the way they are shifting the authors' approach to the acquisition and treatment of QPI data.

TL;DR: The statistical analyses like histogram, correlation and entropy confirm the robustness of the proposed method against statistical attacks and experimental results show that the method is resistant to occlusion attack.

TL;DR: A novel, effective saliency propagation algorithm based on multiple constraints and improved texture features (MCITF) that outperforms state-of-the-art methods with large margins and strong robustness in terms of eight evaluation metrics.

TL;DR: In this paper, a surface plasmon resonance (SPR) sensitivity-enhancing method was proposed by adding MoS2 nanosheets between gold film and fiber (fiber-MoS2-gold film).

TL;DR: In this article, a photoacoustic (PA) multi-gas analyzer was developed in combination with a mid-infrared broadband source and a near infrared laser for detecting CO, CO2, CH4, C2H6, C 2H4 and H2O gas.

TL;DR: In this paper, the authors review the coupling methods used for WGMs, summarizes their characteristics, and introduces the coupling method of recent advances in the field, all of which are instructive for improving the coupling techniques in the future.

TL;DR: The experimental results demonstrate that additionally introducing the polarization information is beneficial for improving the image quality, and the proposed learning-based method can effectively remove the veiling light and outperforms other existing methods, even in dense turbid water.

TL;DR: An end-to-end deep neural network (DDANet) for CGI image reconstruction that uses a one-dimensional bucket signals and multiple tunable noise-level maps as input, and outputs a clear image.

TL;DR: A SIFT-aided path-independent path- independent DIC method that can deal with large and inhomogeneous deformation with high accuracy is developed and parallel computing accelerates significantly the proposed D IC method.

TL;DR: Wang et al. as discussed by the authors proposed a filtering method based on deep learning, called optical fringe patterns denoising convolutional neural network (FPD-CNN), for directly removing speckle from the input noisy fringe patterns.

TL;DR: A transform domain multi-focus image fusion method based on a novel parameter adaptive DCPCNN (PA-DCPCNN) model, in which the parameters are adaptively estimated using the inputs, is proposed.