Results 21 to 30 of about 512,229 (281)
Investigation of blur kernel of terahertz images
Lithuanian Journal of Physics, 2023 The paper discusses issues of digital processing of terahertz images. It is shown that despite the improvement of the hardware part of imaging setups, the acquired images still often have a low resolution and suffer from noise and blurring effects. Thus, to improve their visual quality, it is advisable to use special digital processing methods.
Viktoriia Abramova +5 more
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Blur-Kernel Estimation from Spectral Irregularities [PDF]
, 2012 We describe a new method for recovering the blur kernel in motion-blurred images based on statistical irregularities their power spectrum exhibits. This is achieved by a power-law that refines the one traditionally used for describing natural images.
FATTAL RAANAN, GOLDSTEIN AMIT
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Modeling nonstationary lens blur using eigen blur kernels for restoration
Optics Express, 2020 Images acquired through a lens show nonstationary blur due to defocus and optical aberrations. This paper presents a method for accurately modeling nonstationary lens blur using eigen blur kernels obtained from samples of blur kernels through principal component analysis. Pixelwise variant nonstationary lens blur is expressed as a linear combination of
Moonsung Gwak, Seungjoon Yang
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Visual discomfort and blur [PDF]
, 2013 This work was supported by a doctoral training grant from the BBSRC to LOH.Certain visual stimuli, such as striped patterns and filtered noise, have been reported to be uncomfortable.
Hibbard, Paul Barry +3 more
core +1 more source
Pixel-Level Kernel Estimation for Blind Super-Resolution
IEEE Access, 2021 Throughout the past several years, deep learning-based models have achieved success in super-resolution (SR). The majority of these works assume that low-resolution (LR) images are ‘uniformly’ degraded from their corresponding high ...
Jaihyun Lew, Euiyeon Kim, Jae-Pil Heo
doaj +1 more source
Kernel used for simulating the blur effect on confocal images.
, 2022 Kernel used for simulating the blur effect on confocal images.
Yassin Refahi (12418368) +5 more
core +1 more source
Handling Gaussian blur without deconvolution [PDF]
, 2022 The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated.
Kostková, Jitka +3 more
core +1 more source
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring
Sensors, 2017 Single-image blind deblurring for imaging sensors in the Internet of Things (IoT) is a challenging ill-conditioned inverse problem, which requires regularization techniques to stabilize the image restoration process.
Naixue Xiong +5 more
doaj +1 more source
IEEE Access, 2020 Blind image deblurring, composed of estimating blur kernel and non-blind deconvolution, is an extremely ill-posed problem. However, previous deblurring methods still cannot solve delta kernel or noise problem well and avoid ringing artifacts in restored ...
Hongtian Zhao +3 more
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Cascaded Degradation-Aware Blind Super-Resolution
Sensors, 2023 Image super-resolution (SR) usually synthesizes degraded low-resolution images with a predefined degradation model for training. Existing SR methods inevitably perform poorly when the true degradation does not follow the predefined degradation ...
Ding Zhang +3 more
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