Results 111 to 120 of about 293,019 (211)
A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring
Applied SciencesImage blind deblurring is an ill-posed inverse problem in image processing. While deep learning approaches have demonstrated effectiveness, they often lack interpretability and require extensive data.
Shaoqing Gong +5 more
doaj +1 more source
Blind motion deblurring using thinning kernel
, 2016 碩士盲目影像清晰化主要分為兩個部分：估計過渡影像和估計blur kernel。由於輸入的模糊影像給予足夠的影像資訊，而blur kernel幾乎完全沒有資訊，因此過去的盲目影像清晰化的方法多著重於估計過渡影像的部分。本論文主要研究由照相機晃動導致的模糊影像，並著重於blur kernel的估計。首先，經由相機的晃動軌跡，對blur kernel模型提出簡單的推論與假設；接著以兩個步驟的方式來估計blur kernel，藉此改善資訊不足的問題。本論文先以較為寬鬆的條件求得blur kernel可能的外型 ...
陳品安;Chen, Pin-An
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Sharpening an unfocused image using the non-blind deblurring method
, 2023 Blurring has commonly plagued images and photographs, and it usually occurs due to motion during the capturing of an image, low light intensity from the environment, weather conditions, etc.
Goh, Jonathan Ming Han
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Recent Progress in Image Deblurring [PDF]
This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Wang, R, Tao, D
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Edge based Blind Single Image Deblurring with Sparse Priors
, 2017 International audienceBlind image deblurring is the estimation of the blur kernel and the latent sharp image from a blurry image. This makes it a significant ill-posed problem with various investigations looking for adequate solutions.
Rim Walha +9 more
core +1 more source
Recent Progress in Image Deblurring
, 2014 This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Ruxin Wang, Dacheng Tao
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, 2021 Blind motion image deblurring has been investigated widely in recent years. Many methods and scheme shave been proposed so far, with respectto edge-preserving.
Idriss Moussa , Idriss
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Blind motion deblurring using image statistics
, 2008 We address the problem of blind motion deblurring from a single image, caused by a few moving objects. In such situations only part of the image may be blurred, and the scene consists of layers blurred in different degrees.
Anat Levin
core
Blurring and noise degrade the performance of image processing. To mitigate this effect, various regularization-based deblurring methods have been proposed.
Wang, Y +5 more
core +1 more source
Blind motion deblurring using image statistics
, 2006 We address the problem of blind motion deblurring from a single image, caused by a few moving objects. In such situations only part of the image may be blurred, and the scene consists of layers blurred in different degrees.
Anat Levin
core