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This paper deals with improvements to the contrast source inversion method which is widely used in microwave tomography. First, the method is reviewed and weaknesses of both the criterion form and the optimization strategy are underlined.…

Numerical Analysis · Mathematics 2009-01-30 Paul-André Barrière , Jérôme Idier , Yves Goussard , Jean-Jacques Laurin

Most of the standard image and video codecs are block-based and depending upon the compression ratio the compressed images/videos suffer from different distortions. At low ratios, blurriness is observed and as compression increases blocking…

Computer Vision and Pattern Recognition · Computer Science 2023-03-07 Maryam Viqar , Athar A. Moinuddin , Ekram Khan , M. Ghanbari

We show that the quantum Cram\'er-Rao bound on the precision of measurements of the optical phase gradient, or the wavefront tilt, with a beam of finite width is consistent with the Heisenberg uncertainty principle for a single-photon…

Quantum Physics · Physics 2020-07-22 Walker Larson , Bahaa E. A. Saleh

Phase aberration is one of the main contributors to image degradation in ultrasound imaging. Normalized-Cross-Correlation (NCC) is one of the most extensively studied techniques to estimate the arrival delay error and the aberration…

Medical Physics · Physics 2021-06-22 Dena Monjazebi , Yuan Xu

The goal of blind image deblurring is to recover a sharp image from a motion blurred one without knowing the camera motion. Current state-of-the-art methods have a remarkably good performance on images with no noise or very low noise…

Computer Vision and Pattern Recognition · Computer Science 2019-05-17 Jérémy Anger , Mauricio Delbracio , Gabriele Facciolo

In this paper, an efficient Minkowski Distance based Metric (MDM) for no-reference (NR) quality assessment of contrast distorted images is proposed. It is shown that higher orders of Minkowski distance and entropy provide accurate quality…

Computer Vision and Pattern Recognition · Computer Science 2018-04-10 Hossein Ziaei Nafchi , Mohamed Cheriet

Automatic learning algorithms for improving the image quality of diagnostic B-mode ultrasound (US) images have been gaining popularity in the recent past. In this work, a novel convolutional neural network (CNN) is trained using time of…

Signal Processing · Electrical Eng. & Systems 2021-08-18 Roshan P Mathews , Mahesh Raveendranatha Panicker

Fluorescence microscopy is widely used for the study of biological specimens. Deconvolution can significantly improve the resolution and contrast of images produced using fluorescence microscopy; in particular, Bayesian-based methods have…

Methodology · Statistics 2015-02-04 Alexander Wong , Xiao Yu Wang , Maud Gorbet

Spatiotemporal optical coherence (STOC) imaging is a new technique for suppressing coherent crosstalk noise in Fourier-domain full-field optical coherence tomography (FD-FF-OCT). In STOC imaging, the timevarying inhomogeneous phase masks…

How to evaluate and compare image quality from different sub-micrometer (sub$\mu$) CT scans? A simple test phantom made of polymer microbeads is used for recording projection images as well as 13 CT scans in a number of commercial and…

Stochastic Resonance (SR) describes a phenomenon where an additive noise (stochastic carrier-wave) enhances the signal transmission in a nonlinear system. In the nervous system, nonlinear properties are present from the level of single ion…

Signal Processing · Electrical Eng. & Systems 2023-10-09 Weronika Potok , Onno van der Groen , Sahana Sivachelvam , Marc Bächinger , Flavio Fröhlich , Laszlo B. Kish , Nicole Wenderoth

An ambiguity-free direction-of-arrival (DOA) estimation scheme is proposed for sparse uniform linear arrays under low signal-to-noise ratios (SNRs) and non-stationary broadband signals. First, for achieving better DOA estimation performance…

Signal Processing · Electrical Eng. & Systems 2025-03-06 Wei Wang , Shefeng Yan , Linlin Mao , Zeping Sui , Jirui Yang

We present a thorough theoretical analysis and experimental study of the shot and electronic noise spectra of a balanced optical detector based on an operational amplifier (OA) connected in a transimpedance scheme. We identify and quantify…

Instrumentation and Detectors · Physics 2021-03-23 A. V. Masalov , A. Kuzhamuratov , A. I. Lvovsky

The redshifted 21 cm line of neutral hydrogen is a promising probe of the Epoch of Reionization (EoR). However, its detection requires a thorough understanding and control of the systematic errors. We study two systematic biases observed in…

This paper deals with model order selection in context of correlated noise. More precisely, one considers sources embedded in an additive Complex Elliptically Symmetric (CES) noise, with unknown parameters. The main difficultly for…

Methodology · Statistics 2017-10-19 Eugénie Terreaux , Jean-Philippe Ovarlez , Frédéric Pascal

One of the main limitations for the resolution of optical instruments is the size of the sensor's pixels. In this paper we introduce a new sub pixel resolution algorithm to enhance the resolution of images. This method is based on the…

Instrumentation and Detectors · Physics 2012-11-12 Siamak Khademi , Ahmad Darudi , Zahra Abbasi

When x-rays penetrate soft matter, their phase changes more rapidly than their amplitude. In- terference effects visible with high brightness sources creates higher contrast, edge enhanced images. When the object is piecewise smooth (made…

Digital camera and mobile document image acquisition are new trends arising in the world of Optical Character Recognition and text detection. In some cases, such process integrates many distortions and produces poorly scanned text or…

Computer Vision and Pattern Recognition · Computer Science 2015-09-14 Abdeslam El Harraj , Naoufal Raissouni

Row-Column Arrays (RCAs) offer an attractive alternative to fully wired 2D-arrays for 3D-ultrasound, due to their greatly simplified wiring. However, conventional RCAs face challenges related to their long elements. These include an…

Image and Video Processing · Electrical Eng. & Systems 2025-06-13 Randy Palamar , Mohammad Rahim Sobhani , Darren Dahunsi , Negar Majidi , Afshin Kashani Ilkhechi , Joy Wang , Jeremy Brown , Roger Zemp

In this article, we address the challenges of image super-resolution and noise reduction, which are crucial for enhancing the quality of images derived from low-resolution or noisy data. We compared and assessed several approaches for…

Disordered Systems and Neural Networks · Physics 2024-06-17 Ngoc-Giau Pham , Thanh-Hai Tong Le , Van-Hieu Duong , Hong-Ngoc Tran , Phuoc-Hung Vo