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Found 18 papers, 2 papers with code
Diffusion-based Blind Text Image Super-Resolution
Since text prior is important to guarantee the correctness of the restored text structure according to existing arts, we also propose a Text Diffusion Model (TDM) for text recognition which can guide IDM to generate text images with correct structures.
Towards Large-scale Single-shot Millimeter-wave Imaging for Low-cost Security Inspection
These elements are then sampled based on the ranking, building the experimentally optimal sparse sampling strategy that reduces the cost of antenna array by up to one order of magnitude.
Large-scale Global Low-rank Optimization for Computational Compressed Imaging
However, the computational cost has inhibited NLR from seeking global structural similarity, which consequentially keeps it trapped in the tradeoff between accuracy and efficiency and prevents it from high-dimensional large-scale tasks.
Large-scale single-photon imaging
Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantum computing.
Scattering-induced entropy boost for highly-compressed optical sensing and encryption
In the proposed framework of single-pixel detection, the optical field from a target is first scattered by an optical diffuser and then two-dimensionally modulated by a spatial light modulator.
INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions
In terms of algorithm design, INFWIDE proposes a two-branch architecture, which explicitly removes noise and hallucinates saturated regions in the image space and suppresses ringing artifacts in the feature space, and integrates the two complementary outputs with a subtle multi-scale fusion network for high quality night photograph deblurring.
Weighted Encoding Optimization for Dynamic Single-pixel Imaging and Sensing
While the network is training at a high sampling rate, the modulation patterns and corresponding weights are updated iteratively, which produces optimal ranked encoding series when converged.
Image-free multi-character recognition
The recently developed image-free sensing technique maintains the advantages of both the light hardware and software, which has been applied in simple target classification and motion tracking.
U-shape Transformer for Underwater Image Enhancement
In this work, we constructed a large-scale underwater image (LSUI) dataset including 5004 image pairs, and reported an U-shape Transformer network where the transformer model is for the first time introduced to the UIE task.
Ranked #1 on
Underwater Image Restoration
on LSUI
Image-free single-pixel segmentation
We envision that this image-free segmentation technique can be widely applied in various resource-limited platforms such as UAV and unmanned vehicle that require real-time sensing.
Agile wide-field imaging with selective high resolution
In this work, we report an agile wide-field imaging framework with selective high resolution that requires only two detectors.
Complex-domain super-resolution imaging with distributed optimization
Complex-domain imaging has emerged as a valuable technique for investigating weak-scattered samples.
Affine-modeled video extraction from a single motion blurred image
Recovering these sharp video frames from a single blurred image is nontrivial, due to not only its strong ill-posedness, but also various types of complex motion in reality such as rotation and motion in depth.
Large-scale phase retrieval
In computational phase imaging, phase retrieval (PR) is required to reconstruct both amplitude and phase in complex space from intensity-only measurements.
Non-imaging single-pixel sensing with optimized binary modulation
The conventional high-level sensing techniques require high-fidelity images as input to extract target features, which are produced by either complex imaging hardware or high-complexity reconstruction algorithms.
Experimental comparison of single-pixel imaging algorithms
Various algorithms have been proposed for SPI reconstruction, including the linear correlation methods, the alternating projection method (AP), and the compressive sensing based methods.
Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient
Fourier ptychographic microscopy (FPM) is a novel computational coherent imaging technique for high space-bandwidth product imaging.
Multi-frame denoising of high speed optical coherence tomography data using inter-frame and intra-frame priors
Optical coherence tomography (OCT) is an important interferometric diagnostic technique which provides cross-sectional views of the subsurface microstructure of biological tissues.
