AI Chat AI Image Generator AI Video Text to Speech

A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data

10/02/2010

∙

by Anjan Kumar Kundu, et al.

∙

∙

An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization technique and is certain to converge. Different mesh size for the model has been used here to overcome the Inverse Crime. The synthetic data at the receivers is contaminated with different percentage of noise. The ill-posedness of the problem is solved by Levenberg-Marquardt method. The algorithm is applied to synthetic data and the reconstructed image is then further enhanced through the Image enhancement technique

Anjan Kumar Kundu
1 publication
Bijoy Bandopadhyay
1 publication
Sugata Sanyal
8 publications

research

∙ 03/28/2021

Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems

The majority of model-based learned image reconstruction methods in medi...

11 William Herzberg, et al. ∙

research

∙ 06/10/2021

DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents

We present a novel deep neural model for text detection in document imag...

0 Eun-Soo Jung, et al. ∙

research

∙ 03/20/2020

Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data

In this paper, we present a deep learning-based image processing techniq...

0 Ophir Gozes, et al. ∙

research

∙ 05/24/2023

Post-processing Private Synthetic Data for Improving Utility on Selected Measures

Existing private synthetic data generation algorithms are agnostic to do...

0 Hao Wang, et al. ∙

research

∙ 06/18/2019

Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods

Data selection has proven its merit for improving Neural Machine Transla...

0 Alberto Poncelas, et al. ∙

research

∙ 12/06/2017

Burst Denoising with Kernel Prediction Networks

We present a technique for jointly denoising bursts of images taken from...

0 Ben Mildenhall, et al. ∙

research

∙ 04/04/2019

Geometry of the Hough transforms with applications to synthetic data

In the framework of the Hough transform technique to detect curves in im...

0 Mauro C. Beltrametti, et al. ∙