Search Results for author: Karen Egiazarian

Found 16 papers, 3 papers with code

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

no code implementations11 May 2022 Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse, Samuel Pinilla, Angeliki Xenaki, David W. Griffith, Karen Egiazarian

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

no code implementations14 Apr 2022 Wenzhu Xing, Karen Egiazarian

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

no code implementations3 Mar 2022 Samuel Pinilla, Kumar Vijay Mishra, Igor Shevkunov, Mojtaba Soltanalian, Vladimir Katkovnik, Karen Egiazarian

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

no code implementations24 Sep 2021 Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko, Karen Egiazarian

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.

Image Denoising

End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution

1 code implementation CVPR 2021 Wenzhu Xing, Karen Egiazarian

A problem of finding a joint solution of the multiple image restoration tasks just begun to attract an increased attention of researchers.

Demosaicking Image Denoising +1

ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging

no code implementations14 May 2021 Vladimir Katkovnik, Igor Shevkunov, Karen Egiazarian

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

no code implementations9 Mar 2021 Seyyed Reza Miri Rostami, Samuel Pinilla, Igor Shevkunov, Vladimir Katkovnik, Karen Egiazarian

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

1 code implementation2 Mar 2020 Pham Huu Thanh Binh, Cristóvão Cruz, Karen Egiazarian

This paper proposes a learning-based denoising method called FlashLight CNN (FLCNN) that implements a deep neural network for image denoising.

Image Denoising

The Practicality of Stochastic Optimization in Imaging Inverse Problems

no code implementations22 Oct 2019 Junqi Tang, Karen Egiazarian, Mohammad Golbabaee, Mike Davies

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.

Deblurring Image Deblurring +1

Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform

no code implementations4 Oct 2019 Vladimir Katkovnik, Igor Shevkunov, Karen Egiazarian

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

1 code implementation6 Mar 2018 Cristóvão Cruz, Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian

We introduce a paradigm for nonlocal sparsity reinforced deep convolutional neural network denoising.

Image Denoising

Blind estimation of white Gaussian noise variance in highly textured images

no code implementations29 Nov 2017 Mykola Ponomarenko, Nikolay Gapon, Viacheslav Voronin, Karen Egiazarian

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

no code implementations2 Nov 2017 Karen Egiazarian, Mykola Ponomarenko, Vladimir Lukin, Oleg Ieremeiem

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.

Image Denoising

Complex-valued image denosing based on group-wise complex-domain sparsity

no code implementations1 Nov 2017 Vladimir Katkovnik, Mykola Ponomarenko, Karen Egiazarian

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

no code implementations13 Apr 2017 Cristóvão Cruz, Rakesh Mehta, Vladimir Katkovnik, Karen Egiazarian

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.

Collaborative Filtering Image Super-Resolution

Pointwise shape-adaptive DCT for high-quality deblocking of compressed color images

no code implementations4 Sep 2006 Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian

The use of this shape-adaptive transform for denoising and deblurring has been recently proposed, showing a remarkable performance.

Deblurring Denoising +1

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