Results 11 to 20 of about 293,019 (211)
Noise-Blind Image Deblurring [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We present a novel approach to noise-blind deblurring, the problem of deblurring an image with known blur, but unknown noise level. We introduce an efficient and robust solution based on a Bayesian framework using a smooth generalization of the 0-1 loss. A novel bound allows the calculation of very high-dimensional integrals in closed form.
Meiguang Jin, Stefan Roth, Paolo Favaro
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Stochastic Blind Motion Deblurring [PDF]
IEEE Transactions on Image Processing, 2015 Blind motion deblurring from a single image is a highly under-constrained problem with many degenerate solutions. A good approximation of the intrinsic image can, therefore, only be obtained with the help of prior information in the form of (often nonconvex) regularization terms for both the intrinsic image and the kernel.
Lei Xiao 0014 +3 more
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Multi-scale progressive blind face deblurring
Complex & Intelligent Systems, 2022 Blind face deblurring aims to recover a sharper face from its unknown degraded version (i.e., different motion blur, noise). However, most previous works typically rely on degradation facial priors extracted from low-quality inputs, which generally leads
Hao Zhang +7 more
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Blind Deblurring Using Internal Patch Recurrence [PDF]
, 2014 Recurrence of small image patches across different scales of a natural image has been previously used for solving ill-posed problems (e.g. super- resolution from a single image). In this paper we show how this multi-scale property can also be used for “blind-deblurring”, namely, removal of an unknown blur from a blurry image.
Tomer Michaeli, Michal Irani
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn satellite remote sensing imaging, factors such as optical axis shift, image plane jitter, movement of the target object, and Earth's rotation can induce image blur.
Zhidan Cai +4 more
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Blind UAV Images Deblurring Based on Discriminative Networks
Sensors, 2018 Unmanned aerial vehicles (UAVs) have become an important technology for acquiring high-resolution remote sensing images. Because most space optical imaging systems of UAVs work in environments affected by vibrations, the optical axis motion and image ...
Ruihua Wang +4 more
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Deblur-CycleGAN: A Generative Cyclic Approach for Image Blind Motion Deblurring
2022 7th International Conference on Computer and Communication Systems (ICCCS), 2022 In this paper, we propose an end-to-end generative adversarial network (GAN) for single image blind motion deblur-ring, which we called Deblur-CycleGAN. Inspired by the cyclic nature of the original CycleGAN, we perform single image blind motion deblurring in similar fashion while presenting motion deblurring as a cycle-consistent approach.
Saqlain, Ali Syed +4 more
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Blind deblurring of spiral CT images
IEEE Transactions on Medical Imaging, 2001 To discriminate fine anatomical features in the inner ear, it has been desirable that spiral computed tomography (CT) may perform beyond their current resolution limits with the aid of digital image processing techniques. In this paper, we develop a blind deblurring approach to enhance image resolution retrospectively without complete knowledge of the ...
Ming Jiang 0001 +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingBlind deblurring of optical remote sensing images has been a longstanding challenge. In recent years, many learning-based deblurring algorithms have been greatly developed.
Zhiyuan Li +4 more
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Blind Deblurring Using Space Target Features [PDF]
IEEE Access, 2019 The star image suffers inevitably from degradation due to the high-speed motion of the space target and the long exposure time of the camera, therefore the attitude information of the star is hard to accurately obtain.
Peiyu Liu +4 more
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