Results 91 to 100 of about 17,318 (265)
Deep learning informed diffusion equation model for image denoising
Image denoising is one of the fundamental problems in image processing. Convolutional neural network (CNN) based denoising approaches have achieved better performance than traditional methods, such as STROLLR and BM3D.
Yao Li +3 more
doaj +1 more source
Matter of discussion in this Ph. D. thesis is SAR (Synthetic Aperture Radar) image denoising. Main elements of innovation are the introduction of SAR-BM3D, a denoising algorithm optimized for SAR data, and the introduction of a benchmark which enables ...
Poderico, Mariana
core
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Joint Demosaicing and Denoising Based on a Variational Deep Image Prior Neural Network
A joint demosaicing and denoising task refers to the task of simultaneously reconstructing and denoising a color image from a patterned image obtained by a monochrome image sensor with a color filter array.
Yunjin Park +3 more
doaj +1 more source
We demonstrated that high humidity worsened psoriasis relapse in murine psoriasiform skin inflammation by increasing skin‐resident memory CD8+ cells via upregulating IL‐15Rα on keratinocytes. The increases in IL‐15Rα and memory CD8+ cells were attributed to S. nepalensis and its metabolite ADMA in skin exposed to high humidity.
Chun‐Ling Liang +10 more
wiley +1 more source
Boosting of Denoising Effect with Fusion Strategy
Image denoising, a fundamental step in image processing, has been widely studied for several decades. Denoising methods can be classified as internal or external depending on whether they exploit the internal prior or the external noisy-clean image ...
Fangjia Yang, Shaoping Xu, Chongxi Li
doaj +1 more source
Wavelet shrinkage using adaptive structured sparsity constraints [PDF]
Structured sparsity approaches have recently received much attention in the statistics, machine learning, and signal processing communities. A common strategy is to exploit or assume prior information about structural dependencies inherent in the data ...
Tomassi, Diego Rodolfo +7 more
core +1 more source
Single-Image Simultaneous Destriping and Denoising: Double Low-Rank Property
When a remote sensing camera work in push-broom mode, the obtained image usually contains significant stripe noise and random noise due to differences in detector response and environmental factors.
Chunyu Liu +5 more
core +1 more source
ABSTRACT Acute pancreatitis (AP) begins with pancreatic local inflammation, leading to the onset of systemic inflammatory response syndrome (SIRS), followed by compensatory anti‐inflammatory response syndrome (CARS), which causes immune paralysis and higher mortality rate.
Liwei Liu +15 more
wiley +1 more source
Denoising Techniques Based on the Multiresolution Representation [PDF]
So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used ...
Viorica STEFANESCU +3 more
core +1 more source

