A5090634040- Random lasers and scattering media
- Advanced Optical Imaging Technologies
- Orbital Angular Momentum in Optics
- Advanced Steganography and Watermarking Techniques
- Optical Coherence Tomography Applications
- Neural Networks and Reservoir Computing
- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Optical Imaging and Spectroscopy Techniques
- Color Science and Applications
- Biometric Identification and Security
- Image and Video Quality Assessment
- Photoacoustic and Ultrasonic Imaging
- Digital Media Forensic Detection
- Flavonoids in Medical Research
- Saffron Plant Research Studies
- Blind Source Separation Techniques
- Thermography and Photoacoustic Techniques
- Ginkgo biloba and Cashew Applications
- Chaos-based Image/Signal Encryption
- Neurological Disease Mechanisms and Treatments
- Optical Systems and Laser Technology
- Visual perception and processing mechanisms
- Advanced Computing and Algorithms
- Traditional Chinese Medicine Analysis
University of Shanghai for Science and Technology
2014-2023
China Pharmaceutical University
2012
Based on the analysis of algorithm ghost imaging and channel coding transmission, this paper combines error detection correction function accurate transmission to complete image transmission. The mechanism based is studied. Compared with traditional imaging, greatly decreasing rate, reducing storage space, enhancing ability anti-jamming anti-interception, realizing It solves problems such as insufficient feasibility, low reduction degree, long time current algorithm, so on.
In this letter, compressive temporal ghost imaging with chaotic laser is applied to optical encryption good time-controllable random characteristics and a second-order time correlation property. The security, feasibility, applicability of our method are verified on the basis research mechanism. experiment suggests can obtain high-quality recovery signal, resist noise attack, apply different kinds signals. This technique be immediately telecommunication advantages high wide applicability,...
On the basis of ghost imaging, this paper proposes a multiple-image encryption scheme combining public key cryptography and Hadamard pattern. In system, plurality light paths are set, patterns used for illumination, so that each path is concentrated in bucket detector to obtain intensity values all images. Then, detected encrypted by using algorithm final ciphertext. The use allows high-quality reconstruction. addition, randomness permutation operation provide strong security feature system....
Images are one of the important sources getting information, and process images can be affected by various factors. Atmospheric turbulence is them. Ghost imaging has a positive effect on suppressing atmospheric turbulence, but its reconstruction results not stable, it cannot get high-quality under extreme conditions. In this paper, we simulate using phase screen, combine computational ghost to process, analyze factors that affect imaging. We use an end-to-end neural network input bucket...
Abstract Ghost imaging, as an emerging imaging method, has great advantages in harsh environment with its off-object characteristics. In this paper, we use a turbulence model based compressive sensing computational ghost system to simulate atmospheric turbulence, analyze the effects of various factors on results, and recover images under extreme conditions using conditional generation adversarial network, which can finally well. The simulation results show that image reconstruction method...
An optical encryption method based on compressive ghost imaging (CGI) with double random-phase encoding (DRPE), named DRPE-CGI, is proposed. The information first encrypted by the sender DRPE, DRPE-coded image system of computational a secret key. key N vectors generated and will be shared receiver who authorized user. decrypts key, aid CGI sensing technique, then reconstructs original technique DRPE-decoding. experiments suggest that cryptanalysts cannot get any useful about even if they...
In the process of spectral reflectance reconstruction, sample selection plays an important role in accuracy constructed model and reconstruction effects. this paper, a method for training based on camera response is proposed. It has been proved that value close correlation with reflectance. Consequently, paper we adopt technique drawing sphere space to select samples which have higher test samples. addition, Wiener estimation used reconstruct Finally, find smallest color difference root mean...
The high accuracy of infrared dim and small target detection in complex backgrounds is great relevance for identification tracking systems. Traditional methods suit scenes with a single homogeneous continuous background. However, human vision system suffer from an undetectable or false alarm rate targets. To address this shortcoming, paper proposes algorithm based on frequency domain differencing (FDD). proposed consists spectrum residual module Gaussian greyscale difference module. Firstly,...
Abstract In this paper, based on the specific analysis of a temporal ghost imaging (TGI) algorithm, image coding transmission is realized by combining compression characteristics Fourier transform, convenient control and management function ascending (AC) precise TGI. AC, as kind sorting coding, has fast speed, high precision wide application range. This paper analyzes noise attack, information, bit error rate (BER) similarity, etc. Verified simulation experiment, algorithm can improve...
The purpose of this study is to improve the reconstruction precision and better copy color spectral image surfaces. A new reflectance algorithm based on an iterative threshold combined with weighted principal component space presented in paper, visual features sparse basis. Different numbers cards are selected as training samples, a multispectral testing sample, differences reconstructions compared. channel response value obtained by Mega Vision high-accuracy, multi-channel imaging system....
By studying the traditional spectral reflectance reconstruction method, and relative power distribution of a lighting source are sparsely decomposed, orthogonal property principal component basis is used to eliminate basis; then data obtained by solving sparse coefficient. After theoretical analysis, based on prior knowledge single-pixel detector carried out software simulation experiment. It can reduce complexity cost system, has certain significance for improvement multispectral image...
Computational ghost imaging is a good optical encryption method, but it can have difficulty large-sized object and be time consuming. To solve the problem, we propose novel method based on block adaptive compressive sensing with computational imaging. In this model, divide image into several blocks. Then, each considered as single while performing Each has its own sampling ratio according to human visual system. recovery process, use algorithm reconstruct image. Compared imaging, quality of...