The effective extraction of weak fault features is crucial in condition monitoring and fault
diagnosis of rolling bearings. Sparse coding, as a promising tool for signal denoising and …

As a major concern, the existence of unwanted energy and missing traces in seismic data
acquisition can degrade interpretation of such data after processing. Instead of analytical …

Medical ultrasound images are corrupted with speckle noise inherently, which can cause
negative effects on image-based interpretation and diagnostic procedure. Speckle reduction …

The considerable prospecting depth and accurate subsurface characteristics can be
obtained by the transient electromagnetic method (TEM) in geophysics. Nevertheless, the …

The image super-resolution reconstruction method can improve the image quality in the
Internet of Things (IoT). It improves the data transmission efficiency, and is of great …

Ultrasound (US) imaging can examine human bodies of various ages; however, in the
process of obtaining a US image, speckle noise is generated. The speckle noise inhibits …

Noise filtering is a crucial task in digital image processing, performing the function of
preprocessing. In this paper, we propose an algorithm that employs deep convolution and …

This paper presents a multi-scale hybrid method for speckle reduction in ultrasound (US)
images. Speckle is removed by guided filtering, directional filtering, and fractional order …

Objective: Super-resolution reconstruction is an increasingly important area in computer
vision. To alleviate the problems that super-resolution reconstruction models based on …

Abstract Polarimetric Synthetic Aperture Radar (PolSAR) images are widely used for remote
sensing and geoscience applications. However, the coherent processing of radar signals in …