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AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
Pattern RecognitionBlind super-resolution methods based on stable diffusion showcase formidable generative capabilities in reconstructing clear high-resolution images with intricate details from low-resolution inputs.
Rui Xie +5 more
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Multi-Image Blind Super-Resolution of 3D Scenes
IEEE Transactions on Image Processing, 2017We address the problem of estimating the latent high-resolution (HR) image of a 3D scene from a set of non-uniformly motion blurred low-resolution (LR) images captured in the burst mode using a hand-held camera. Existing blind super-resolution (SR) techniques that account for motion blur are restricted to fronto-parallel planar scenes.
Abhijith Punnappurath +2 more
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A Blind Super-Resolution Method for Near-Field Channel Estimation with Angle-Range Recovery
IEEE International Conference on Acoustics, Speech, and Signal ProcessingAs massive MIMO and extremely large antenna array rapidly evolve, wireless communication is gradually shifting from the far-field to the near-field region. To accurately capture the characteristics of the near-field channel, the spherical-wave assumption
Jiezhen Li, Qiaozhen Chen, Feng Xi
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Blind Super Resolution of Real-Life Video Sequences
IEEE Transactions on Image Processing, 2016Super resolution (SR) for real-life video sequences is a challenging problem due to complex nature of the motion fields. In this paper, a novel blind SR method is proposed to improve the spatial resolution of video sequences, while the overall point spread function of the imaging system, motion fields, and noise statistics are unknown.
Esmaeil, Faramarzi +3 more
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arXiv.org
Implicit degradation estimation-based blind super-resolution (IDE-BSR) hinges on extracting the implicit degradation representation (IDR) of the LR image and adapting it to LR image features to guide HR detail restoration.
Jian-Ting Yuan +4 more
semanticscholar +1 more source
Implicit degradation estimation-based blind super-resolution (IDE-BSR) hinges on extracting the implicit degradation representation (IDR) of the LR image and adapting it to LR image features to guide HR detail restoration.
Jian-Ting Yuan +4 more
semanticscholar +1 more source
Multiframe blind super resolution imaging based on blind deconvolution
Transactions of Tianjin University, 2016As an ill-posed problem, multiframe blind super resolution imaging recovers a high resolution image from a group of low resolution images with some degradations when the information of blur kernel is limited. Note that the quality of the recovered image is influenced more by the accuracy of blur estimation than an advanced regularization.
Wei Yuan, Liyi Zhang
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Comput. Methods Programs Biomed.
BACKGROUND AND OBJECTIVE Handheld ultrasound devices are widely used in clinical diagnostics and examinations due to their portability. However, their imaging quality is often inferior to that of large-scale ultrasound devices due to hardware limitations.
Zhencun Jiang +3 more
semanticscholar +1 more source
BACKGROUND AND OBJECTIVE Handheld ultrasound devices are widely used in clinical diagnostics and examinations due to their portability. However, their imaging quality is often inferior to that of large-scale ultrasound devices due to hardware limitations.
Zhencun Jiang +3 more
semanticscholar +1 more source
IEEE journal of biomedical and health informatics
High-resolution magnetic resonance imaging (HR MRI) can provide accurate and rich information for doctors to better detect subtle lesions, delineate tumor boundaries, evaluate small anatomical structures, and assess early-stage pathological changes that ...
Xiao-qiang Zhao +2 more
semanticscholar +1 more source
High-resolution magnetic resonance imaging (HR MRI) can provide accurate and rich information for doctors to better detect subtle lesions, delineate tumor boundaries, evaluate small anatomical structures, and assess early-stage pathological changes that ...
Xiao-qiang Zhao +2 more
semanticscholar +1 more source
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
IEEE Workshop/Winter Conference on Applications of Computer VisionRecently, diffusion-based blind super-resolution (SR) methods have shown great ability to generate high-resolution images with abundant high-frequency detail, but the detail is often achieved at the expense of fidelity.
Shao-Hao Lu +3 more
semanticscholar +1 more source
Blind Super-resolution of Faces for Surveillance
2021Super-resolution (SR) refers to a class of techniques that derive a high resolution image from its low resolution (LR) counterpart. A vast amount of literature exists on SR spanning both multi and single image approaches.
T. M. Nimisha, A. N. Rajagopalan
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