We propose an infrared thermal image denoising method based on the residual learning
with a symmetric multi-scale (SM) encoder-decoder sampling structure (SMEDS). The U …

In this paper, a novel deep blind Gaussian denoising network is proposed utilizing the
concepts of gradient information, multi-scale feature information and feature denoising for …

In recent years, artificial neural networks (ANNs) have grown a lot and helped solve
numerous problems in wireless communication systems. We have evaluated the …

The hyperspectral imaging instrument makes a trade-off by sacrificing spatial resolution to
achieve high spectral resolution. This compromise leads to a low signal-to-noise ratio, and …

Traditional feature-based no-reference image quality assessment (NR-IQA) technologies
rely heavily on the correlation between the handcrafted features and distortions, and often …

Image denoising is one of the fundamental aspects for removing noise from an image and
enhancing its features containing visual information. Based on this, the Convolutional …

In order to expand the application field of the non-local means algorithm and improve the
performance of removing salt and pepper noise, this paper proposes a simple but effective …

Various types of noise may affect the visual quality of images during capturing and
transmitting procedures. Finding a proper technique to remove the possible noise and …

为满足基于旋翼无人机(UAV) 载具的室外目标检测所需的低资源开销混合噪声抑制,
该文提出一种基于图像局部曲面可展化的混合噪声抑制算法(DLS), 该算法实现了局部曲面可展 …

The goal of image denoising is to reduce or eliminate noise in images, thereby restoring and
enhancing the true details and quality of the images. This process is essential for improving …