Results 121 to 130 of about 9,140,641 (221)

A Lightweight Fusion Distillation Network for Image Deblurring and Deraining. [PDF]

Sensors (Basel), 2021
Zhang Y, Liu Y, Li Q, Wang J, Qi M, Sun H, Xu H, Kong J.   +7 more
europepmc   +1 more source

Dual-Branch Discrimination Network Using Multiple Sparse Priors for Image Deblurring. [PDF]

Sensors (Basel), 2022
Li J, Cheng S, Tao Y, Liu H, Zhou J, Zhang J.   +5 more
europepmc   +1 more source

Gyro-based Neural Single Image Deblurring [PDF]

In this paper, we present GyroDeblurNet, a novel single image deblurring method that utilizes a gyro sensor to effectively resolve the ill-posedness of image deblurring.
Baek, Seung-Hwan, Rim, Jaesung, Yang, Heemin, Cho, Sunghyun, Lee, Seungyong   +4 more
core  

An Efficient Blind Image Deblurring Algorithm

, 2010
This paper presents a novel algorithm which concerns with the fast implement of blind image deblurring with a well-reconstructed original image. Firstly, we model both the original image and the blur utilizing the harmonic model in the Sobolev image ...
Su Xiao, Guo Qiang Han, Yan Wo, Hao Wei Yao   +3 more
core   +1 more source

A New Framework of Designing Iterative Techniques for Image Deblurring. [PDF]

Pattern Recognit, 2022
Zhang M, Young GS, Tie Y, Gu X, Xu X.
europepmc   +1 more source

Uncertainty Propagation in Image Deblurring [PDF]

Image blur often hinders radiographic data analysis. By approaching image deblurring as an ill-posed inverse problem, methods such as Tikhonov and Total Variation Regularization provide ample solutions. As non-blind methods, the regularization requires a
Sigel, Eleanor, Gorman, Madeline, Pasfield, Thomas   +2 more
core  

Local Extremum Constrained Total Variation Model for Natural and Hyperspectral Image Non-Blind Deblurring

Blurring and noise degrade the performance of image processing. To mitigate this effect, various regularization-based deblurring methods have been proposed.
Wang, Y, Li, L, Zhang, Q, Song, M, Dong, Y, Yuan, Q   +5 more
core   +1 more source

Gaussian blurring-deblurring for improved image compression

, 2003
The deblurring of Gaussian blur by inverting the action of the diffusion equation has long been known. This technique is interesting but without much practical application since the images have to be blurred by convolution with a Gaussian to be "de ...
Bister, Michel, Yap, Moi Hoon, Ewe, Hong Tat   +2 more
core   +1 more source

Frequency Disentanglement Distillation Image Deblurring Network. [PDF]

Sensors (Basel), 2021
Liu Y, Guo J, Yang S, Liu T, Zhou H, Liang M, Li X, Xu D.   +7 more
europepmc   +1 more source

Applying linear algebra to image deblurring [PDF]

, 2019
This thesis expands on the concepts taught in Applied Linear Algebra (MAT-350), using singular value decomposition (SVD) and discrete cosine transform (DCT), with a focus on image deblurring. The principles discussed throughout this thesis were guided by
Sanborn, John Julian
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