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- 摘要
- 关键词
- 实验方案
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[IEEE 2018 15th Conference on Computer and Robot Vision (CRV) - Toronto, ON, Canada (2018.5.8-2018.5.10)] 2018 15th Conference on Computer and Robot Vision (CRV) - Multi-projector Resolution Enhancement Through Biased Interpolation
摘要： Projecting the same content with multiple overlapping projectors provides several advantages compared to using a single projector: increased brightness to overcome ambient light or projection surface anomalies, redundancy in case of projector failure, an increase in the area being projected on, and the possibility for increased content resolution. Multi-projector resolution enhancement is the process of using multiple projectors to achieve a resolution greater than any individual projector in the configuration. Current resolution enhancement techniques perform filtering on the sub-images produced by each projector using spatial or frequency based filters. The kernel based filtering adds significant overhead relative to the interpolation calculations. In addition the learned filters are extremely sensitive to calibration. This work develops a method for performing multi-projector resolution enhancement by integrating the filtering into the interpolation process. A system is developed to jointly condition multiple low resolution sub-images on each other to approximate high resolution original content.
关键词： structural similarity,resolution enhancement,biased interpolation,multi-projector
更新于2025-09-23 15:23:52
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A comparative study of superimposition techniques for enhancing the projector resolution: Simulations and experiments
摘要： Among the techniques developed to enhance the resolution of a projector beyond its native resolution, a number of techniques use sequential superimposition of low resolution images with sub-pixel shift to produce a resulting high-resolution image on the wall. This work investigates different low-resolution subframe image generation techniques used for this purpose. Along with that, two new subframe generation techniques have been developed with the aim to prioritize darker and/or bright pixels in an image. We have also extended a Single-subframe iterative technique to Two-subframe iterative technique to evaluate its full potential. Detailed simulations, visual image quality analysis, image quality metric assessment and measurement results of the existing and the newly developed methods have been carried out. A comparative study of the techniques suggests that iterative sub-frame generation techniques give the best overall image quality, but their high computational cost could make them less practical.
关键词： Resolution enhancement,Image quality metric,Superimposition,Digital micro-mirror device (DMD)
更新于2025-09-23 15:22:29
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Resolution-enhanced imaging using interferenceless coded aperture correlation holography with sparse point response
摘要： interferenceless coded aperture correlation holography (i-coAcH) is a non-scanning, motionless, incoherent digital holography technique. in this study we use a special type of i-coAcH in which its point spread hologram (pSH) is ensemble of sparse dots. With this pSH an imaging resolution beyond the classic diffraction limit is demonstrated. This resolution improvement is achieved due to the position of the coded aperture between the object and the lens-based imaging system. the coded aperture scatters part of the light, that otherwise is blocked by the system aperture, into the optical system, and by doing that, extends the effective numerical aperture of the system. The use of sparse PSH increases the signal-to-noise ratio of the entire imaging system. A lateral resolution enhancement by a factor of about 1.6 was noted in the case of I-COACH compared to direct imaging.
关键词： resolution enhancement,signal-to-noise ratio,interferenceless coded aperture correlation holography,incoherent digital holography,sparse point response
更新于2025-09-23 15:19:57
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Resolution-Enhancement for an Integral Imaging Microscopy Using Deep Learning
摘要： A novel resolution-enhancement method for an integral imaging microscopy that applies interpolation and deep learning is proposed, and the complete system with both hardware and software components is implemented. The resolution of the captured elemental image array is increased by generating intermediate-view elemental images between each neighboring elemental image, and an orthographic-view visualization of the specimen is reconstructed. Then, a deep learning algorithm is used to generate maximum possible resolution for each reconstructed directional-view image with improved quality. Since a pre-trained model is applied, the proposed system processes the images directly without data training. The experimental results indicate that the proposed system produces resolution-enhanced directional-view images, and quantitative evaluation methods for reconstructed images such as the peak signal-to-noise ratio and the power spectral density confirm that the proposed system provides improvements in image quality.
关键词： resolution enhancement,Deep learning,integral imaging microscopy
更新于2025-09-19 17:15:36
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[IEEE 2019 IEEE SENSORS - Montreal, QC, Canada (2019.10.27-2019.10.30)] 2019 IEEE SENSORS - A MEMS Based Lens Microscanner for Resolution Enhancement of Infrared Imaging Systems
摘要： The aim of this study is to demonstrate a Micro Electro Mechanical Systems (MEMS) based in-plane (x and y axes) lens scanner to improve the resolution of Long Wave Infrared Optical Systems (8-12μm wavelength). The proposed actuator consists of a 2 axis decoupled stage and has 4 separate V-Shaped thermal actuators which provide sufficient force and displacement to position the lens within required time. Miniaturization of lens has been achieved by using an aspherical surface and optimization of optical system parameters. Actuators have 40 micrometers displacement capability which is sufficient for sub-pixel image motion on the detector. Frequency of actuation is 25 Hz which corresponds to construction of 1 frame per 40 milliseconds.
关键词： Resolution enhancement,Infrared Optical Systems,Micro-Scanning,Thermal Chevron Actuators
更新于2025-09-16 10:30:52
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Deconvolution Approaches for Resolution Enhancement with DPS Scatterometer
摘要： Based on [1]，a quantitative comparison of resolution enhancement performance for three deconvolution approaches (L2 norm, L1 norm and TV) to DPS scatterometer over nadir swath are made. The spatial resolution and reconstruction accuracy/precision properties of these methods are analyzed and compared. Results show that resolution enhancement is achieved by the price of decreased accuracy/precision of reconstructed backscatter, and the reconstructed backscatter becomes a more smoothed version of truth backscatter with decrease of spatial resolution.
关键词： resolution enhancement,DPS,accuracy/precision,deconvolution method
更新于2025-09-10 09:29:36
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Sensor resolution enhancement for remote imaging by synthesizing mask-based camera array images
摘要： In this paper, we propose an architecture based on camera array with masks to enhance the sensor resolution of remote imaging system. The sensor resolution is enhanced by multiplexing the sensor images of each camera, in which the angular resolution bandwidth is converted using masks to expand the spatial resolution bandwidth. The improvement of the sensor resolution depends on the number of cameras in the array. The theory of improving the sensor resolution is discussed both in Fourier domain and spatial domain. We verify resolution enhancement of the architecture by ray-tracing imaging simulation. A simulation model is built to verify the resolution-enhancing ability of the camera array architecture. From each camera in the array, we get a resolution-limited image. The reconstructed image is synthesized from all the images of the cameras. The post-synthesized image has finer information details compared with the images of each camera. The resolution improvement varies with the object distance. The optimal resolution improvement of the reconstructed image is equal to the total sensor pixels of the camera array.
关键词： Image reconstruction,Light field,Remote imaging,Resolution enhancement
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Spatial Resolution Enhancement of Optical Images Based on Tensor Decomposition
摘要： There is an inevitable trade-off between spatial and spectral resolutions in optical remote sensing images. A number of data fusion techniques of multimodal images with different spatial and spectral characteristics have been developed to generate optical images with both spatial and spectral high resolution. Although some of the techniques take the spectral and spatial blurring process into account, there is no method that attempts to retrieve an optical image with both spatial and spectral high resolution, a spectral blurring filter and a spectral response simultaneously. In this paper, we propose a new framework of spatial resolution enhancement by a fusion of multiple optical images with different characteristics based on tensor decomposition. An optical image with both spatial and spectral high resolution, together with a spatial blurring filter and a spectral response, is generated via canonical polyadic (CP) decomposition of a set of tensors. Experimental results featured that relatively reasonable results were obtained by regularization based on nonnegativity and coupling.
关键词： tensor decomposition,pan-sharpening,canonical polyadic (CP) decomposition,Spatial resolution enhancement,coupling
更新于2025-09-09 09:28:46
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Topology Design for Geosynchronous Spaceborne–Airborne Multistatic SAR
摘要： Geosynchronous (GEO) spaceborne–airborne multistatic synthetic aperture radar (GEO MulSAR) is more flexible and accessible in remote sensing applications because of the high-altitude illuminator and the separation of the receivers and transmitter. In addition, the information obtained by the multiple airborne receivers can be fused to enhance the spatial resolution. However, the fused spatial resolution severely depends on the applied multistatic topology. To achieve the optimal fused spatial resolution by properly adjusting the imaging topology, a topology design method is proposed in this letter. First, the spatial resolution model of GEO MulSAR is given, and the dependence of the spatial resolution on the multistatic topology is analyzed in detail. Then, a topology design method is proposed to obtain the best multistatic topology that simultaneously optimizes the resolution cell area and resolution disequilibrium factor. Finally, the simulation results validate the effectiveness of the proposed method, and some insights into designing the multistatic topology are given.
关键词： resolution enhancement,topology design,Geosynchronous (GEO) spaceborne–airborne synthetic aperture radar (SAR),multistatic SAR
更新于2025-09-09 09:28:46
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[IEEE 2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) - Helsinki (2018.6.3-2018.6.5)] 2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) - A NOVEL DISPARITY-ASSISTED BLOCK MATCHING-BASED APPROACH FOR SUPER-RESOLUTION OF LIGHT FIELD IMAGES
摘要： Currently, available plenoptic imaging technology has limited resolution. That makes it challenging to use this technology in applications, where sharpness is essential, such as film industry. Previous attempts aimed at enhancing the spatial resolution of plenoptic light field (LF) images were based on block and patch matching inherited from classical image super-resolution, where multiple views were considered as separate frames. By contrast to these approaches, a novel super-resolution technique is proposed in this paper with a focus on exploiting estimated disparity information to reduce the matching area in the super-resolution process. We estimate the disparity information from the interpolated LR view point images (VPs). We denote our method as light field block matching super-resolution. We additionally combine our novel super-resolution method with directionally adaptive image interpolation from [1] to preserve sharpness of the high-resolution images. We prove a steady gain in the PSNR and SSIM quality of the super-resolved images for the resolution enhancement factor 8x8 as compared to the recent approaches and also to our previous work [2].
关键词： Light Field Image Super-Resolution,Block Matching,4D Imaging,Resolution Enhancement
更新于2025-09-04 15:30:14