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Found 16 papers, 3 papers with code
An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures
Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research avenues in several signal processing applications.
Residual Swin Transformer Channel Attention Network for Image Demosaicing
One of the recent methods of image restoration based on a Swin Transformer (ST), SwinIR, demonstrates state-of-the-art performance with a smaller number of parameters than neural network-based methods.
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Phase retrieval in optical imaging refers to the recovery of a complex signal from phaseless data acquired in the form of its diffraction patterns.
Learning-based Noise Component Map Estimation for Image Denoising
Comparison with the ideal case, when denoising is applied using ground-truth sigma-map, shows that a difference of corresponding PSNR values for most of noise levels is within 0. 1-0. 2 dB and does not exceeds 0. 6 dB.
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution
A problem of finding a joint solution of the multiple image restoration tasks just begun to attract an increased attention of researchers.
ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging
A novel formulation of the hyperspectral broadband phase retrieval is developed for the scenario where both object and modulation phase masks are spectrally varying.
Power-Balanced Hybrid Optics Boosted Design for Achromatic Extended-Depth-of-Field Imaging via Optimized Mixed OTF
The simulation results also reveal that optimizing the optical power-balance, Fresnel order, and the number of levels parameters are essential for system performance attaining an improvement of up to 5dB of PSNR using the optimized OTF compared with its counterpart lensless setup.
Optics Image and Video Processing
Flashlight CNN Image Denoising
This paper proposes a learning-based denoising method called FlashLight CNN (FLCNN) that implements a deep neural network for image denoising.
The Practicality of Stochastic Optimization in Imaging Inverse Problems
We investigate this phenomenon and propose a theory-inspired mechanism for the practitioners to efficiently characterize whether it is beneficial for an inverse problem to be solved by stochastic optimization techniques or not.
Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform
Broadband hyperspectral digital holography and Fourier transform spectroscopy are important instruments in various science and application fields.
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
We introduce a paradigm for nonlocal sparsity reinforced deep convolutional neural network denoising.
Blind estimation of white Gaussian noise variance in highly textured images
In the paper, a new method of blind estimation of noise variance in a single highly textured image is proposed.
Statistical evaluation of visual quality metrics for image denoising
After carrying out a perceptual quality assessment of distorted images, the mean opinion scores (MOS) are obtained and compared with the values of known full reference quality metrics.
Complex-valued image denosing based on group-wise complex-domain sparsity
Phase imaging and wavefront reconstruction from noisy observations of complex exponent is a topic of this paper.
Single Image Super-Resolution based on Wiener Filter in Similarity Domain
In this paper we propose a self-similarity based approach that is able to use large groups of similar patches extracted from the input image to solve the SISR problem.
Pointwise shape-adaptive DCT for high-quality deblocking of compressed color images
The use of this shape-adaptive transform for denoising and deblurring has been recently proposed, showing a remarkable performance.
