Results 121 to 130 of about 18,244,520 (347)
Journal of Radiation Research and Applied SciencesIn order to better preserve the details and texture information in the image, a dual scale real image blind denoising algorithm based on partial differential equations is studied.
Yang Liu
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The Noise Clinic: a Blind Image Denoising Algorithm [PDF]
, 2015 This paper describes the complete implementation of a blind image algorithm, that takes any digital image as input. In a first step the algorithm estimates a Signal and Frequency Dependent (SFD) noise model.
Jean-Michel Morel +2 more
core +1 more source
Advanced Robotics Research, EarlyView.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
Denoising an Image by Denoising Its Components in a Moving Frame [PDF]
, 2014 This work was supported by European Research Council, Starting Grant ref. 306337, and by Spanish grants AACC, ref. TIN2011-15954-E, and Plan Na- cional, ref. TIN2012-38112. S. Levine acknowledges partial support by NSF-DMS #0915219.
Gabriela Ghimpeteanu +3 more
openaire +2 more sources
A dual-phase hybrid framework for real-time grayscale image denoising in structured noise [PDF]
Image denoising is a substantial section in the preprocessing stage, especially in medical images. This study proposed a hybrid denoising model for salt-and-pepper removal in grayscale images.
Al-kharaz, Ali Abdulmunim +1 more
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Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Image denoising method integrating ridgelet transform and improved wavelet threshold.
PLoS ONEIn the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
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Advanced Science, EarlyView.Single‐cell longitudinal profiling reveals that androgen‐deprivation therapy induces a DPT+ fibroblast‐complement axis that suppresses macrophage inflammation and drives CD8+ T cell exhaustion in prostate cancer. Concurrently, resistant epithelial subpopulations persist and engage TSPAN1‐ and NRXN1‐mediated programs promoting CRPC and neuroendocrine ...
Yang Chen +19 more
wiley +1 more source
Boosting of Denoising Effect with Fusion Strategy
Applied Sciences, 2020 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
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Sketched Learning for Image Denoising
, 2021 The Expected Patch Log-Likelihood algorithm (EPLL) and its extensions have shown good performances for image denoising. It estimates a Gaussian mixture model (GMM) from a training database of image patches and it uses the GMM as a prior for denoising.
Hui Shi +2 more
openaire +2 more sources