Article
Optics
Rafal Stojek, Anna Pastuszczak, Piotr Wrobel, Rafal Kotynski
Summary: Single pixel imaging (SPI) typically has low pixel resolution, but this paper proposes a method that allows high-resolution reconstruction of sparse images in a short time through sampling and reconstruction strategies.
Article
Optics
Yunfan Wang, Huijie Zhao, Hongzhi Jiang, Xudong Li, Yuxi Li, Yang Xu
Summary: A new method for axial 3D shape measurement using parallel single-pixel imaging is proposed in this paper, encoding depth through the projection of light transport coefficients and using third-order polynomial fitting for depth mapping and calibration. Experimental results demonstrate that the method can achieve robust, dense reconstruction with high depth accuracy and accuracy.
Article
Optics
Yanyang Ma, Yongkai Yin, Shan Jiang, Xianye Li, Feng Huang, Baoqing Sun
Summary: The single pixel 3D imaging technique demonstrated in this work uses phase-shifting fringe projection to calculate the 3D information of the object. The accuracy of 3D reconstruction is ensured through system calibration, and the validity of the proposed system is confirmed through experiments.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Fei Wang, Chenglong Wang, Chenjin Deng, Shensheng Han, Guohai Situ
Summary: This study proposes a physics-enhanced deep learning approach for image reconstruction in single-pixel imaging. By combining a physics-informed layer and a model-driven fine-tuning process, the proposed method demonstrates generalizability and outperforms other widespread algorithms in terms of both robustness and fidelity.
PHOTONICS RESEARCH
(2022)
Article
Optics
Wenchang Lai, Guozhong Lei, Qi Meng, Donfeng Shi, Wenda Cui, Pengfei Ma, Yan Wang, Kai Han
Summary: A novel single-pixel imaging technique based on discrete orthogonal Zernike moments is proposed. The technique uses Zernike basis patterns to illuminate the target object and measures reflected light intensities through a single-pixel detector to obtain Zernike moments of the object image. The object image is reconstructed by iteratively summing the product of Zernike polynomials and detected intensities. Experimental results show high-quality image retrieval under compressive sampling, and the Zernike illuminating patterns are used for efficient and accurate object classification due to the rotation invariant of Zernike moments.
Article
Engineering, Electrical & Electronic
Cheng Zhou, Xuan Liu, Xinwei Li, Yueshu Feng, Gangcheng Wang, Jipeng Huang, Haizhu Sun, Yongli Zhang, Lijun Song
Summary: The multisensor system based on single-pixel imaging can simultaneously measure and image various optical information using a novel multispectral SPI method. It decouples the spatial and spectral dimensions, reducing the complexity of traditional spectral imaging systems. This work enables more convenient research in spectral information acquisition.
IEEE SENSORS JOURNAL
(2023)
Article
Optics
Xiao Zhang, Rui Li, Jiaying Hong, Xi Zhou, Nian Xin, Qin Li
Summary: In recent years, image enhancement for single-pixel imaging has developed rapidly by introducing arbitrary-order fractional operations, which provide a tradeoff between image SNR and performance of edge enhancement. This technique offers a new degree of freedom for edge extraction and image de-noising, making up for the shortcomings of traditional methods for image enhancement.
Article
Optics
Chenning Tao, Huanzheng Zhu, Xucheng Wang, Shuhang Zheng, Qin Xie, Chang Wang, Rengmao Wu, Zhenrong Zheng
Summary: A low-cost compressive single-pixel hyperspectral imaging system with RGB sensors is proposed in this work, eliminating the need for spectral dispersion devices. Reconstruction quality is further improved by optimizing the spatial patterns for structured illumination and the dictionary for sparse representation. The sparse properties of hyperspectral images are fully utilized for high sampling efficiency and low reconstruction cost in both spatial and spectral dimensions.
Article
Optics
Xinyue Ma, Chenxing Wang
Summary: Single-pixel imaging (SPI) is important for applications limited by transmission bandwidth or lighting band, and 3D SPI can be achieved by capturing depth-carrying signals. The key issues of SPI are sampling strategy and reconstruction algorithm. In this paper, an active and flexible sampling strategy is proposed to overcome the limitations of the single-pixel detector (SPD). Two deep learning approaches are also introduced to enhance reconstruction quality. Experiments show that our method improves SPI precision even at low sampling rates, with potential for extension and practical application in similar systems.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Biochemical Research Methods
Xianlin Song, Xiaohai Yu, Rui Wang, Ganyu Chen, Jiahao Zeng
Summary: The proposed multiscale photoacoustic microscopy based on single-pixel imaging utilizes varying spatial frequencies of sinusoidal fringes to obtain Fourier coefficients, enabling multiscale imaging without mechanical scanning. This method expands the application of photoacoustic imaging in biomedical research by allowing adjustable lateral resolution from microns to tens of microns.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Multidisciplinary Sciences
Yuning Guo, Baowen Li, Xiaobo Yin
Summary: This study proposes a dual-compressed photoacoustic imaging method with single-pixel detection, which enables high-efficiency surface tomography with 3D spatial resolution unlimited by the acoustics, revealing the potential for dynamic imaging in a scattering medium.
NATIONAL SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Rachael Tobin, Abderrahim Halimi, Aongus McCarthy, Philip J. Soan, Gerald S. Buller
Summary: Time-of-flight LiDAR with single-photon detection is a potential solution for high-resolution depth profiling in challenging measurement scenarios. The method is ideal for imaging in highly scattering environments like through atmospheric obscurants. This paper demonstrates real-time 3D reconstruction of moving scenes in degraded visual environments, showcasing the potential for high-resolution imaging from mobile platforms.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Electrical & Electronic
Samar Emara, Taichiro Fukui, Kento Komatsu, Yusuke Kohno, Rui Tang, Takuo Tanemura, Yoshiaki Nakano
Summary: Research has shown that in single-pixel imaging, optical-phased arrays (OPAs) do not need to undergo full 2 pi phase shifts to generate sufficiently randomized illumination patterns to reconstruct images, reducing the input voltage and paving the way for high-speed OPA-based imaging.
IEEE PHOTONICS JOURNAL
(2021)
Article
Optics
Hong-Yun Hou, Ya-Nan Zhao, Jia-Cheng Han, Sheng-Wei Cui, De-Zhong Cao, Hong-Chao Liu, Su-Heng Zhang, Bao-Lai Liang
Summary: This research presents a coherent structured illumination single-pixel imaging scheme that efficiently generates complex-amplitude images of objects using phase modulation and inverse Hadamard transform. The scheme demonstrates high efficiency, image quality, spatial resolution, and stability, showing promising applications in optical metrology and biomedical science.
Article
Multidisciplinary Sciences
The Viet Hoang, Vincent Fusco, Muhammad Ali Babar Abbasi, Okan Yurduseven
Summary: This study introduces a technique for direction of arrival estimation using single-pixel polarimetric compressive sensing with a cavity backed programmable coding metasurface aperture. By dynamically modulating waveform diversity, spatially incoherent radiation masks can encode incoming plane waves on the radar aperture using a single channel. The polarimetric nature of the wave-chaotic coded metasurface ensures sensitivity to the polarization state of incoming waves, allowing for high fidelity polarimetric direction of arrival information retrieval from compressed measurements.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Gabriel Fuertes Munoz, Ramon Alberto Mollineda Cardenas, Filiberto Pla
Summary: This study introduces a Kinect-based interactive system for assisting healthy aging in older adults, which guides, supervises, and corrects them during physical exercises. Results show the effectiveness of the system in assisting older users, measuring their progress, and gaining gradual acceptance from users.
Article
Geochemistry & Geophysics
Ruben Fernandez-Beltran, Begum Demir, Filiberto Pla, Antonio Plaza
Summary: In this letter, a novel unsupervised hashing method based on probabilistic topic models is introduced to encapsulate hidden semantic patterns of data into final binary representation. The method effectively learns hash codes through three main steps: data grouping, topic computation, and hash code generation. Experimental results on benchmark archives show that the proposed method significantly outperforms state-of-the-art unsupervised hashing methods.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Environmental Sciences
Ruben Fernandez-Beltran, Tina Baidar, Jian Kang, Filiberto Pla
Summary: Crop yield estimation in developing countries remains a major challenge due to data availability issues, but using Sentinel-2 imagery and Convolutional Neural Networks can provide accuracy and suitability in estimating rice crop yields.
Article
Optics
A. Santos-Amador, M. Araiza-Esquivel, H. Gonzalez, A. Rodriguez-Cobos, E. Tajahuerce, L. Martinez-Leon, G. Ramirez-Flores, R. E. Balderas-Navarro
Summary: In this study, Hadamard, cosine, and noiselet bases are implemented in a digital holographic microscope for image retrieval, with cosine basis showing the best quality for amplitude images based on peak SNR criteria. The phase images recovered compare well with those obtained with a CMOS camera.
Article
Engineering, Electrical & Electronic
Sudheesh K. Rajput, Osamu Matoba, Manoj Kumar, Xiangyu Quan, Yasuhiro Awatsuji, Yosuke Tamada, Enrique Tajahuerce
Summary: The study presents a multimodal technique for cross-sectional quantitative phase and fluorescence imaging using computational microscopy. The hybrid imaging system is simple, compact, and non-iterative, suitable for imaging biological samples. Experimental results on microbeads and fluorescent protein-labeled living cells demonstrate the performance of the proposed system.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Article
Geochemistry & Geophysics
Ruben Fernandez-Beltran, Damian Ibanez, Jian Kang, Filiberto Pla
Summary: This study proposes a method for enhancing Sentinel-3 VI in time using a deep learning network, leveraging Sentinel-2 observations for improved accuracy. Experimental results demonstrate that this method outperforms traditional models.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Chemistry, Analytical
Julen Rostan, Nicolo Incardona, Emilio Sanchez-Ortiga, Manuel Martinez-Corral, Pedro Latorre-Carmona
Summary: Fourier lightfield microscopy has gained increasing interest for its ability to acquire 3D images of thick dynamic samples. This study investigates the use of a neural radiance field view synthesis method for generating a high number of synthesized view images without compromising lateral resolution.
Article
Engineering, Electrical & Electronic
Nofre Sanmartin-Vich, Javier Calpe, Filiberto Pla
Summary: Continuous wave Time of Flight cameras use modulated continuous light waves to obtain depth images and measure the delay of received signals. Shot noise is identified as a major source of error. This letter analyzes the effect of shot noise when obtaining phase delay and proposes a new architecture based on differentiating phase integrations and using any number of points in the calculation of Discrete Fourier Transform (DFT). The study reveals that the error depends on the integration time rather than the number of points in the DFT.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Computer Science, Information Systems
Pedro Latorre-Carmona, Rafael Huertas, Marius Pedersen, Samuel Morillas
Summary: Assessment of visual quality of color images is difficult and requires psychophysical experiments to record observer scores. Visual image quality metrics aim to maximize agreement between computed indexes and observer scores. The commonly used measures of agreement are Pearson and Spearman correlation coefficients. This paper introduces the Standardized Residual Sum of Squares (STRESS) as an alternative metric and presents a version that considers observers' score variability.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2023)
Article
Geochemistry & Geophysics
Damian Ibanez, Ruben Fernandez-Beltran, Filiberto Pla
Summary: Image registration is crucial in image processing for aligning geometric shapes of two or more images. This study introduces the FloU-Net, a novel optical flow-based image registration network that leverages deep learning to exploit synergies between sensors. The proposed method accurately registers small local deformations of multimodal images, even when there are significant differences in scale and resolution. Results show that the FloU-Net outperforms other state-of-the-art techniques in registering coupled optical images. The code and dataset are publicly available.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Geochemistry & Geophysics
Damian Ibanez, Ruben Fernandez-Beltran, Filiberto Pla, Naoto Yokoya
Summary: This article presents a novel masked auto-encoding spectral-spatial transformer (MAEST) model, which combines two collaborative branches to classify and reconstruct hyperspectral remote sensing images, addressing the noise issue in conventional transformer networks.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Janak Parajuli, Ruben Fernandez-Beltran, Jian Kang, Filiberto Pla
Summary: This article presents a new attentional dense convolutional neural network (AD-CNN) for water body extraction from Sentinel-2 imagery. The AD-CNN exploits dense connections to uncover deeper features and implements a residual attention module to dynamically focus on relevant features. Experimental results show that the proposed method achieves competitive performance.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Yongwei Li, Filiberto Pla, Marten Sjostrom, Ruben Fernandez-Beltran
Summary: Recent studies have shown the potential and advantages of different light field information processes. In this paper, the interaction between color interpolation and depth estimation in light field is addressed, proposing a probabilistic approach to handle these two processing steps jointly. Experimental results demonstrate that both image interpolation quality and depth estimation can benefit from their interaction.
Article
Engineering, Electrical & Electronic
Damian Ibanez, Ruben Fernandez-Beltran, Filiberto Pla, Naoto Yokoya
Summary: This article proposes a novel convolutional neural network model (DAT-CNN) for reconstructing S3 vegetation indices (VI) from S2 and S3 multitemporal observations and using them as proxies for solar-induced chlorophyll fluorescence (SIF). Compared to other techniques, the model implements processing and fusion of S2 and S3 data, and leverages the synergies between the sensors. Experimental results demonstrate the competitive advantages of the model over existing techniques.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Rafael Fernandez, Ruben Fernandez-Beltran, Jian Kang, Filiberto Pla
Summary: This article introduces a new super-resolution framework to enhance the spatial resolution of Sentinel-3 ocean and land color instrument products using the higher spatial resolution of the Sentinel-2 multispectral instrument. The proposed framework addresses challenges in operational data availability and sensor alignment, and integrates a novel convolutional neural network specially designed for improving the resolution of OLCI data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
