Dual-stream multi-path recursive residual network for JPEG image compression artifacts reduction

Z Jin, MZ Iqbal, W Zou, X Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
JPEG is the most widely used lossy image compression standard. When using JPEG with
high compression ratios, visual artifacts cannot be avoided. These artifacts not only degrade …

Computed tomography (CT) image quality enhancement via a uniform framework integrating noise estimation and super-resolution networks

J Chi, Y Zhang, X Yu, Y Wang, C Wu - Sensors, 2019 - mdpi.com
Computed tomography (CT) imaging technology has been widely used to assist medical
diagnosis in recent years. However, noise during the process of imaging, and data …

PEA265: Perceptual assessment of video compression artifacts

L Lin, S Yu, L Zhou, W Chen, T Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The most widely used video encoders share a common hybrid coding framework that
includes block-based motion estimation/compensation and block-based transform coding …

Acceleration of X-ray computed tomography scanning with high-quality reconstructed volume by deblurring transmission images using convolutional neural networks

R Yuki, Y Ohtake, H Suzuki - Precision Engineering, 2022 - Elsevier
X-ray computed tomography (CT) enables nondestructive evaluation and dimensional
metrology using the reconstructed volumes of measured objects. Although the abundant …

PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems

B Shi, Q Lian, X Fan - Signal Processing, 2019 - Elsevier
The problem of recovering an image of interest from nonlinear measured data is
challenging. To address this nonlinear imaging inverse problem, we propose a novel Plug …

Investigation of single-shot high-speed photography based on spatial frequency multiplexing

H Li, YH Li, X Wang, J Tian - JOSA A, 2023 - opg.optica.org
The frequency recognition algorithm for multiple exposures (FRAME) is a spatial frequency
multiplexing method that enables high-speed videography with high spatial resolution …

An effective interpretation of defocusing and the corresponding defocus convolution kernel

M Fu, Y Zhao, Z Hou - Optics & Laser Technology, 2023 - Elsevier
The defocusing phenomenon of an optical system is determined by the defocus convolution
kernel (DCK). However, the DCKs in the current defocusing theories fail to match the …

Lung computed tomography image enhancement using U‐Net segmentation

AH Sheer, HH Kareem… - International Journal of …, 2024 - Wiley Online Library
The goal of image enhancement methods is to improve image's quality. The efficacy of U‐
net is evident through its extensive utilization across various significant image modalities …

Comparative analysis of non-blind deblurring methods for noisy blurred images

PB Dasgupta - arXiv preprint arXiv:2205.03464, 2022 - arxiv.org
Image blurring refers to the degradation of an image wherein the image's overall sharpness
decreases. Image blurring is caused by several factors. Additionally, during the image …

[PDF][PDF] 基于振铃约束的全变差正则化图像去模糊算法

杨竹青, 谢宏 - 太赫兹科学与电子信息学报, 2021 - researching.cn
当前去模糊方法只利用图像单一的稀疏特性作为先验信息, 忽略了伪边缘(如振铃瑕疵)
对模糊核估计的影响, 导致其去模糊性能不佳. 本文充分利用复杂结构图像的先验信息 …