Soybean yield is a highly complex trait determined by multiple factors such as genotype,
environment, and their interactions. The earlier the prediction during the growing season the …

This paper proposes a denoising method based on an adversarial deep learning approach
for the post-processing of multi-channel fetal electrocardiogram (ECG) signals. As it's well …

Accepted: 26 July 2022 Nowadays, a digital image is often easily corrupted due to different
forms of noise and complex processes resulting from the acquisition, compression …

The image often contains noises due to several factors such as a problem in devices or due
to an environmental problem etc. Noise is mainly undesired information, which degrades the …

Image denoising is a process that used to enhance the image quality after degraded by the
noise. There are several methods have been proposed for image denoising. In this paper, a …

An image is often corrupted with noise throughout procurement, compression, transmission,
storage and retrieval processes. These effects are leading to distortion and loss of image …

Abstract Synthetic Aperture Radar (SAR) imagery finds widespread applications across
engineering disciplines, encompassing vegetation surveys, biomass estimation, and …

In recent years, due to the tremendous development that took place on the Internet and its
applications in the aspects of human life, the demands of using digital images have also …

This work addresses to a study on the different techniques of thresholding used for noise
removal from an image using Discrete Wavelet Transform (DWT). The wavelet transform …

This paper proposed a novel fuzzy genetic-based noise removal filter and surveyed the gain
of popular filters for noise removal in the digital orthopantomography (OPG) images. The …