Noise reduction is a perplexing undertaking for the researchers in digital image processing
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …

针对现代战场复杂电磁环境, 在低信噪比(-6 dB) 下传统雷达调制信号采用常规五参数特征的
识别方法准确率低的问题, 本文采用深度学习中的AlexNet 卷积神经网络模型自动提取图像各种 …

Reservoir characterization is of great importance in oil and gas exploration and production.
To automate and improve the procedures involved in this task, several approaches in the …

In the state of the art, grayscale image enhancement algorithms are typically adopted for
enhancement of RGB color images captured with low or non-uniform illumination. As these …

Image acquisition is a common task in every image processing operation. Noise is entered
(luring image acquisition from its source and once entered it degrades the image and is …

Developing an efficient wireless communication system for image and video signals other
than voice signal is the need for a mobile radio link. Image transmission through a wireless …

As an elegant nonparametric Bayesian method, Gaussian process regression (GPR) has
been successfully applied to image denoising. However, the traditional GPR faces the …

In medical image processing, magnetic resonance (MR) imaging techniques play an
important role. The images acquired are usually affected from various noise such as …

Abstract Background/Objectives: Noise in a digital image, is unwanted information that
degrades the quality of an image. The main aim of the proposed method is to denoise a …

Two-photon microscopy is indispensable in cell and molecular biology for its high-resolution
visualization of cellular and molecular dynamics. However, the inevitable low signal-to-noise …