Results 71 to 80 of about 6,569 (169)
Blind Image Deblurring via Local Maximum Difference Prior
IEEE Access, 2020 Blind image deblurring is a well-known conundrum in the digital image processing field. To get a solid and pleasing deblurred result, reasonable statistical prior of the true image and the blur kernel is required.
Jing Liu +4 more
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Image Restoration Using Joint Statistical Modeling in Space-Transform Domain
, 2014 This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statistical manner. The main contributions are three-folds.
Gao, Wen +4 more
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Blind Image Deblurring via Reweighted Graph Total Variation
, 2017 Blind image deblurring, i.e., deblurring without knowledge of the blur kernel, is a highly ill-posed problem. The problem can be solved in two parts: i) estimate a blur kernel from the blurry image, and ii) given estimated blur kernel, de-convolve blurry
Bai, Yuanchao +3 more
core +1 more source
, 2018 Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recognition. In principle, techniques like deblurring and super-resolution should
Banerjee, Sreya +4 more
core +1 more source
Motion deblurring using spatiotemporal phase aperture coding
Optica, 2020 Motion-related image blur is a known issue in photography. In practice, it limits the exposure time while capturing moving objects; thus, achieving proper exposure is difficult. Extensive research has been carried out to compensate for it, to allow increased light throughput without motion artifacts.
Elmalem, Shay +2 more
openaire +2 more sources
A method for deblurring motion blur in visible light images based on improved DeblurGAN [PDF]
Zhihui kongzhi yu fangzhenThis paper focuses on the task of motion deblurring in visible light images by improving and further lightening DeblurGAN, resulting in the model Faster-DeblurGAN.
WANG Bilin
doaj +1 more source
Faster gradient descent and the efficient recovery of images
, 2013 Much recent attention has been devoted to gradient descent algorithms where the steepest descent step size is replaced by a similar one from a previous iteration or gets updated only once every second step, thus forming a {\em faster gradient descent ...
Ascher, Uri, Huang, Hui
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Gyroscope-Aided Motion Deblurring with Deep Networks [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 We propose a deblurring method that incorporates gyroscope measurements into a convolutional neural network (CNN). With the help of such measurements, it can handle extremely strong and spatially-variant motion blur. At the same time, the image data is used to overcome the limitations of gyro-based blur estimation.
Mustaniemi, Janne +5 more
openaire +3 more sources
Perceptual quality evaluation for motion deblurring
IET Computer Vision, 2018 Motion deblurring has been widely studied. However, the relevant quality evaluation of motion deblurred images remains an open problem. The motion deblurred images are usually contaminated by noise, ringing and residual blur (NRRB) simultaneously ...
Bo Hu, Leida Li, Jiansheng Qian
doaj +1 more source
Plant Methods, 2023 Background Efficient and site-specific weed management is a critical step in many agricultural tasks. Image captures from drones and modern machine learning based computer vision methods can be used to assess weed infestation in agricultural fields more ...
Nikita Genze +5 more
doaj +1 more source