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RGB-guided hyperspectral image super-resolution with deep progressive learning

CAAI Transactions on Intelligence Technology 2024年第3期9卷 679-694页

作者： Tao Zhang Ying Fu Liwei Huang Siyuan Li Shaodi You Chenggang Yan School of Computer Science and Technology Beijing Institute of TechnologyBeijingChina Satellite Information Intelligent Processing and Application Research Laboratory Beijing Institute of Remote SensingBeijingChina Key Laboratory of Spectral Imaging Technology Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of SciencesXi'anChina Institute of Informatics University of AmsterdamAmsterdamNetherlands School of Communication Engineering Hangzhou Dianzi UniversityHangzhouChina

Due to hardware limitations,existing hyperspectral(HS)camera often suffer from low spatial/temporal ***,it has been prevalent to super-resolve a low reso-lution(LR)HS image into a high resolution(HR)HS image with a HR RGB(or mul-tispectral)image *** approaches for this guided super-resolution task often model the intrinsic characteristic of the desired HR HS image using hand-crafted ***,researchers pay more attention to deep learning methods with direct supervised or unsupervised learning,which exploit deep prior only from training dataset or testing *** this article,an efficient convolutional neural network-based method is presented to progressively super-resolve HS image with RGB image ***-ically,a progressive HS image super-resolution network is proposed,which progressively super-resolve the LR HS image with pixel shuffled HR RGB image ***,the super-resolution network is progressively trained with supervised pre-training and un-supervised adaption,where supervised pre-training learns the general prior on training data and unsupervised adaptation generalises the general prior to specific prior for variant testing *** proposed method can effectively exploit prior from training dataset and testing HS and RGB images with spectral-spatial *** has a good general-isation capability,especially for blind HS image *** experimental results show that the proposed deep progressive learning method out-performs the existing state-of-the-art methods for HS image super-resolution in non-blind and blind cases.

关键词： computer vision deep neural networks image processing image resolution unsupervised learning

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Photoacoustic microscopy image resolution enhancement via directional total variation regularization

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Chinese Optics Letters 2014年第12期12卷 104-108页

作者：伍政华孙明健王强刘婷冯乃章刘劼沈毅 Department of Control Science and Engineering Harbin Institute of Technology Microsoft Research Redmond 98052 USA

Photoacoustic microscopy （PAM） is recognized as a powerful tool for various microcirculation system studies. To improve the spatial resolution for the PAM images, the requirements of the system will always be increased correspondingly. Without additional cost of the system, we address the problem of improving the resolution of PAM images by integrating a deconvolution model with a directional total variation regularization. Additionally, we present a primal-dual-based algorithm to solve the associated optimization problem efficiently. Results from both test images and some PAM images studies validate the effectiveness of the proposed method in enhancing the spatial resolution. We expect the proposed technique to be an alternative resolution enhancement tool for some important biomedical applications.

关键词： image denoising image resolution Medical applications Microcirculation Optimization

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Influences of Atmospheric Turbulence on image resolution of Airborne and Space-Borne Optical Remote Sensing System

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Journal of Beijing Institute of Technology 2006年第4期15卷 457-461页

作者：张晓芳俞信阎吉祥 School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China

A new way is proposed to evaluate the influence of atmospheric turbulence on image resolution of airborne and space-borne optical remote sensing system, which is called as arrival angle-method. Applying this method, some engineering examples are selected to analyze the turbulence influences on image resolution based on three different atmospheric turbulence models quantificationally, for the airborne remote sensing system, the resolution errors caused by the atmospheric turbulence are less than 1 cm, and for the space-borne remote sensing system, the errors are around 1 cm. The results are similar to that obtained by the previous Friedmethod. Compared with the Fried-method, the arrival angle-method is rather simple and can be easily used in engineering fields.

关键词： atmospheric turbulence coherence length arrival angle-method airborne or space-borne optical remote sensing system image resolution

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image enhancement and post-processing for low resolution compressed video

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测试科学与仪器：英文版 2013年第1期4卷 30-33页

作者： Myoungjin Kim Beomsu Kim Mincheol Hong School of Electronic Engineering Soongsil UniversitySeoul 156-743Korea

This research paper recommends the point spread function(PSF)forecasting technique based on the projection onto convex set(POCS)and regularization to acquire low resolution *** the environment for the production of user created contents(UCC)videos(one of the contents on the Internet)becomes widespread,resolution reduction and image distortion occurs,failing to satisfy users who desire high quality ***,this research neutralizes the coding artifact through POCS and regularization processes by:1)factoring the local characteristics of the image when it comes to the noise that results during the discrete cosine transform(DCT)and quantization process;and 2)removing the blocking and ring phenomena which are problems with the existing video ***,this research forecasts the point spread function to obtain low resolution images using the above-mentioned ***,a method is suggested for minimizing the errors found among the forecasting interpolation ***-resolution image quality obtained through the experiment demonstrates that significant enhancement was made on the visual level compared to the original image.

关键词： discrete cosine transform(DCT) projection onto convex set(POCS) image resolution

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A Novel Adaptive In SAR Phase Filtering Method Based on Complexity Factors

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Chinese Journal of Electronics 2023年第5期32卷 1089-1105页

作者： XU Huaping WANG Yuan LI Chunsheng ZENG Guobing LI Shuo LI Shuang REN Chong School of Electronic and Information Engineering Beihang University Nanjing Research Institute of Electronics Technology Beijing Institute of Radio Measurement China Academy of Launch Vehicle Technology

Phase filtering is an essential step in interferometric synthetic aperture radar(In SAR) *** interferograms of complicated and changeable terrain,the increasing resolution of In SAR images makes it even more difficult. In this paper, a novel adaptive In SAR phase filtering method based on complexity factors is proposed. Firstly, three complexity factors based on the noise distribution and terrain slope information of the interferogram are selected. The complexity indicator composed of three complexity factors is used to guide the adaptive selection of the most suitable and effective filtering strategies for different areas. Then, the complexity scalar is calculated, which can guide the adaptive local fringe frequency estimation and adaptive parameters calculation in different filter methods. Finally, validations are performed on the simulated and real data. The performance comparison between the other three representative phase filtering method and the proposed method have validated the effectiveness and superiority of the proposed method.

关键词： image resolution Filtering Noise reduction Adaptive filters Radar imaging Radar polarimetry Complexity theory

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A full resolution autostereoscopic 3D display based on polarizer parallax barrier

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Chinese Optics Letters 2010年第1期8卷 22-23页

作者：王琼华陶宇虹赵悟翔李大海 School of Electronics and Information Engineering Key Laboratory of Fundamental Synthetic Vision Graphics and Image for National DefenseSichuan University

A full resolution autostereoscopic three-dimensional （3D） display prototype is developed. It is composed of a time division thin film transistor liquid crystal display panel with an optical controlled birefringence liquid crystal polarization switch and a polarizer parallax barrier. Fast driving circuits operating at 120-Hz frame rate are fabricated. The 3D images on the display have the same resolution as the corresponding two-dimensional images, which is significantly different from conventional parallax barrier autostereoscopic 3D displays having degraded 3D image resolution.

关键词： Astrophysics Geometrical optics image resolution Liquid crystal displays Liquid crystals Optical instruments Thin film transistors

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Sub-pixel processing for super-resolution scanning imaging system with fiber bundle coupling

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Chinese Optics Letters 2011年第8期9卷 16-19页

作者：安博文薛冰玢潘胜达陈桂林 School of Information Engineering Shanghai Maritime University Shanghai Institute of Technical Physics Chinese Academy of Sciences

A multilayer fiber bundle is used to couple the image in a remote sensing imaging system. The object image passes through all layers of the fiber bundle in micro-scanning mode. The malposition of adjacent layers arranged in a hexagonal pattern is at sub-pixel scale. Therefore, sub-pixel processing can be applied to improve the spatial resolution. The images coupled by the adjacent layer fibers are separated, and subsequently, the intermediate image is obtained by histogram matching based on one of the separated image called base image. Finally, the intermediate and base images are processed in the frequency domain. The malposition of the adjacent layer fiber is converted to the phase difference in Fourier transform. Considering the limited sensitivity of the experimental instruments and human sight, the image is set as a band-limited signal and the interpolation function of image fusion is found. The results indicate that a super-resolution image with ultra-high spatial resolution is obtained.

关键词： Fibers Fourier transforms image resolution Imaging systems Pixels Remote sensing

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Improving spatial resolution in fiber Raman distributed temperature sensor by using deconvolution algorithm

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Chinese Optics Letters 2009年第7期7卷 560-563页

作者：张磊冯雪张巍刘小明 State Key Laboratory on Integrated Optoelectronics/Tsinghua National Laboratory for Information Science and Technology Tsinghua University

The deconvolution algorithm is adopted on the fiber Raman distributed temperature sensor （FRDTS） to improve the spatial resolution without reducing the pulse width of the light source. Numerical simulation shows that the spatial resolution is enhanced by four times using the frequency-domain deconvolution algorithm with high temperature accuracy. In experiment, a spatial resolution of 15 m is realized using a master oscillator power amplifier light source with 300-ns pulse width. In addition, the dispersion-induced limitation of the minimum spatial resolution achieved by deconvolution algorithm is analyzed. The results indicate that the deconvolution algorithm is a beneficial complement for the FRDTS to realize accurate locating and temperature monitoring for sharp temperature variations.

关键词： Algorithms Computer simulation Convolution image resolution Light Light sources Power amplifiers Temperature sensors

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Performance of third-order ghost imaging with second-order intensity correlation

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Chinese Optics Letters 2011年第8期9卷 27-30页

作者：曹彬张春熹欧攀 School of Instrumentation Science and Opto-Electronics Engineering Beihang University

The third-order ghost imaging with the second-order intensity correlation is theoretically and experi- mentMly demonstrated. The resolution and visibility of the reconstructed image are discussed, and the relationship between resolution and visibility is analyzed. The theoretical results show that a tradeoff exists between the visibility and resolution of the reconstructed image; the better the image resolution, the worse the image visibility. Numerical simulations are carried out to verify this theory, and a ghost imaging experiment is conducted to validate our calculations. The experimental results agree with the theoretical predictions.

关键词： image resolution

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High efficiency positive and negative phase zone plates

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Chinese Optics Letters 2017年第2期15卷 11-14页

作者：胡仁芳陈健 Faiz Wali 王声翔高昆刘刚 National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230027China Hefei Meiya Optoelectronic Technology Inc. Hefei 230088China

We design a new kind of phase zone plates（PZPs） to improve the diffraction efficiency of soft x ray zone plates（ZPs）. The design replaces blank parts of PZPs with metals of negative phase shift at the working energy, which is called as the positive and negative PZPs（PNPZPs）. According to the calculation, PNPZPs have a higher maximum efficiency than conventional ZPs with the same zone width. With the help of a negative phase coefficient, it is much easier to achieve a π phase shift in one period, resulting in a smaller zone height. This design can help fabricate finer PZPs to achieve a better image resolution.

关键词： image resolution Production platforms X ray diffraction

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