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Dual-stream multi-path recursive residual network for JPEG image compression artifacts reduction
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 …
high compression ratios, visual artifacts cannot be avoided. These artifacts not only degrade …
[HTML][HTML] 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 …
diagnosis in recent years. However, noise during the process of imaging, and data …
PEA265: Perceptual assessment of video compression artifacts
The most widely used video encoders share a common hybrid coding framework that
includes block-based motion estimation/compensation and block-based transform coding …
includes block-based motion estimation/compensation and block-based transform coding …
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 …
kernel (DCK). However, the DCKs in the current defocusing theories fail to match the …
Acceleration of X-ray computed tomography scanning with high-quality reconstructed volume by deblurring transmission images using convolutional neural networks
X-ray computed tomography (CT) enables nondestructive evaluation and dimensional
metrology using the reconstructed volumes of measured objects. Although the abundant …
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 …
challenging. To address this nonlinear imaging inverse problem, we propose a novel Plug …
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 …
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 …
decreases. Image blurring is caused by several factors. Additionally, during the image …
Investigation of single-shot high-speed photography based on spatial frequency multiplexing
H Li, YH Li, X Wang, J Tian - Journal of the Optical Society of America …, 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 …
multiplexing method that enables high-speed videography with high spatial resolution …
Research on image deblurring processing technology based on genetic algorithm
E **, J Zhang - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Image deblurring, which is an important branch of digital image processing, is one of the
difficulties in digital image processing. The main goal of image deblurring is to improve the …
difficulties in digital image processing. The main goal of image deblurring is to improve the …