Novel Super-Resolution Method Based on High Order Nonlocal-Means

03/14/2015 ∙ by Kang Yong-Rim, et al. ∙ 0 ∙ share

Super-resolution without explicit sub-pixel motion estimation is a very active subject of image reconstruction containing general motion. The Non-Local Means (NLM) method is a simple image reconstruction method without explicit motion estimation. In this paper we generalize NLM method to higher orders using kernel regression can apply to super-resolution reconstruction. The performance of the generalized method is compared with other methods.

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Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution

Motion estimation across low-resolution frames and the reconstruction of...
09/06/2016 ∙ by Cosmin Bercea, et al. ∙ 0 ∙ share

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Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution

In this work we propose a novel motion guided method for automatic and t...
03/28/2018 ∙ by Juan Castorena, et al. ∙ 0 ∙ share

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Image Reconstruction with Predictive Filter Flow

We propose a simple, interpretable framework for solving a wide range of...
11/28/2018 ∙ by Shu Kong, et al. ∙ 12 ∙ share

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Super-resolution Reconstruction of SAR Image based on Non-Local Means Denoising Combined with BP Neural Network

In this article, we propose a super-resolution method to resolve the pro...
12/14/2016 ∙ by Zeling Wu, et al. ∙ 0 ∙ share

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Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light

One of the solutions of depth imaging of moving scene is to project a st...
10/02/2017 ∙ by Yuki Shiba, et al. ∙ 0 ∙ share

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MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities

Maximum Entropy is an image reconstruction method conceived to image a s...
02/18/2020 ∙ by Paolo Massa, et al. ∙ 0 ∙ share

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Controlling Neural Networks via Energy Dissipation

The last decade has shown a tremendous success in solving various comput...
04/05/2019 ∙ by Michael Moeller, et al. ∙ 0 ∙ share

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Novel Super-Resolution Method Based on High Order Nonlocal-Means

Authors

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution

Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution

Image Reconstruction with Predictive Filter Flow

Super-resolution Reconstruction of SAR Image based on Non-Local Means Denoising Combined with BP Neural Network

Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light

MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities

Controlling Neural Networks via Energy Dissipation

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