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OTDR Event Detection Method Based on Improved 1D UNet
AbstractOptical time domain reflectometer (OTDR) is the most basic and widely used equipment in optical fiber detection. Its performance and trace...
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Remote Sensing Image Mixed Noise Denoising with Noise Parameter Estimation
Images acquired by optical remote sensing often suffer from noise, due to low-light conditions and long distances from the object. Noise introduces...
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Improved Spatial Modulation Diversity with High Noise Robust Based on Deep Denoising Convolution Neural Network
Synthetic aperture imaging systems can be applied to equivalently get high-resolution images of traditional monolithic primary mirror systems with...
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Cluster-based filtering framework for removing speckles with structural protection in OCT images
Generally speaking, it is the essential core of image filtering to keep the texture features better while denoising the image. To some extent,...
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Removing the Blurring from X-Ray Image Using BM3D Technique
The x-ray image quality of normal patient is needed to enhance to diagnose accurately. For this reason, block-matchingBlock matching 3D...
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Multistability analysis and color image encryption application of a fractional-order hyperchaotic system with double coupled memristors
In this paper, a novel fractional-order hyperchaotic system with double coupled memristors is proposed, and the hyperchaotic sequences generated by...
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Quantitative evaluation of the image quality using the fast nonlocal means denoising approach in diffusion-weighted magnetic resonance imaging with high b-value
Brain images acquired using the diffusion-weighted imaging (DWI) method indicate that the diagnostic efficiency of infarction improves and the noise...
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Landscape reconstruction of traditional village couplets based on image recognition algorithm
Cultural inheritance, activation and utilization are the value orientation of the living protection of couplet landscape. In the reconstruction of...
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Material decomposition of spectral CT images via attention-based global convolutional generative adversarial network
Spectral computed tomography (CT) based on photon counting detectors can resolve the energy of every single photon interacting with the sensor layer...
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Spatial resolution and image processing for pinhole camera-based X-ray fluorescence imaging: a simulation study
Spatial resolution and image-processing methods for full-field X-ray fluorescence (FF-XRF) imaging using X-ray pinhole cameras were studied using...
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Digital image biological detection technology based on the porous silicon periodic crystals film
In order to solve this problem, a new biological detection method is proposed, which makes use of the characteristics of optical transmission at the...
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Deep Learning in Solar Image Generation Tasks
It has been witnessed that deep learning has been applied to classification in previous chapters. In fact, deep learning also demonstrated great...
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Dynamic stochastic resonance driven by the signal-dependent noise
In this paper, the stochastic resonance phenomenon in a bistable system driven by signal-dependent noise is studied. By establishing the...
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Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising
We review the development of efficient numerical methods for statistical multi-resolution estimation of optical imaging experiments. In principle,...
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Study on Image Processing of Bridge Cable Surface Defect Detection System
The cable-stayed bridge has been widely used because of its excellent bearing capacity, beautiful structure and relatively low construction cost. As...
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Edge extraction and reconstruction of terahertz image using simulation evolutionary with the symmetric fourth order partial differential equation
Terahertz (THz) pulse imaging can be used for biomedicine, material, and food security. However, image quality is lower attributed to the THz...
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Computer-generated moiré profilometry based on flat image demodulation
A computer-generated moiré profilometry based on flat image demodulation is proposed. A sinusoidal fringe pattern and its background light are...
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Performance of a convolutional autoencoder designed to remove electronic noise from p-type point contact germanium detector signals
We present a convolutional autoencoder to denoise pulses from a p-type point contact high-purity germanium detector similar to those used in several...
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Blind denoising for LiDAR signal based on high dimensional eigenvalue analysis
In this paper, we address the problem of blind denoising for laser detection and ranging equipment (LiDAR) based on estimating noise level from LiDAR...