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PSF Estimation of Simple Lens Based on Circular Partition Strategy
Recently, single-lens computational imaging has gradually become a new research direction of computational photography, which combines the front-end...
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Iterative approach for parametric PSF estimation
In this paper a parametric point spread function (PSF) estimation method is presented. This method can be employed for estimating the parameters of...
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Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring
The research paper focuses on a challenging task faced in blind image deblurring (BID). It relates to the estimation of arbitrarily shaped...
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Semi-blind image deblurring based on framelet prior
The problem of image blurring is one of the most studied topics in the field of image processing. Image blurring is caused by various factors such as...
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Estimating Blur Parameters to Reconstruct the Motion Blurred Images
One of the important topics of image restoration is the restoration of a motion-blurred image. The restored blurred images are based on estimating...
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Fast rendering of central and peripheral human visual aberrations across the entire visual field with interactive personalization
With the recent progress made in areas such as head-mounted displays and vision-correcting devices, there is a growing interest in fast and...
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Lensless Image Reconstruction with an Untrained Neural Network
Lensless image reconstruction is an ill-posed inverse problem in computational imaging, having several applications in machine vision. Existing...
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UDC-UNet: Under-Display Camera Image Restoration via U-shape Dynamic Network
Under-Display Camera (UDC) has been widely exploited to help smartphones realize full-screen displays. However, as the screen could inevitably affect...
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TASE-Net: A Short-Term Load Forecasting Model Based on Temperature Accumulation Sequence Effect
Electricity consumption forecasting plays an important role in ensuring efficient dispatch and reliability of the grid. The results are influenced by...
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Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models
Electron microscopy (EM) images exhibit anisotropic axial resolution due to the characteristics inherent to the imaging modality, presenting...
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Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise
We study the problem of deconvolution for light-sheet microscopy, where the data is corrupted by spatially varying blur and a combination of Poisson...
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Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution
Hyperspectral Imagery (HSI) contains rich spectral information, but the resolution of hyperspectral imagery is often low sometimes. Recently,...
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SqueezeCapsNet: enhancing capsule networks with squeezenet for holistic medical and complex images
Early diagnosis of patients’ disease is crucial since it helps doctors and patients devise a treatment plan. Therefore, recognizing medical images...
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Fast Two-Step Blind Optical Aberration Correction
The optics of any camera degrades the sharpness of photographs, which is a key visual quality criterion. This degradation is characterized by the...
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Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
Deconvolution microscopy has been extensively used to improve the resolution of the widefield fluorescent microscopy. Conventional approaches, which...
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A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images
Given a coarse satellite image and a fine satellite image of a particular location taken at the same time, the high-resolution spatiotemporal image...
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A Systematic Approach to Implementing Multi-sourcing Strategy in Engineer-to-Order Production
Engineer-to-order (ETO) manufacturers operate in an increasingly volatile, uncertain, and complex business environment, which has added more...
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Image deconvolution for optical small satellite with deep learning and real-time GPU acceleration
In-orbit optical-imaging instruments may suffer from degradations due to space environment impacts or long-time operation. The degradation causes...
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Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging
Fitting Gaussian functions to empirical data is a crucial task in a variety of scientific applications, especially in image processing. However, most...
