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alikaraali/TIP2018-Edge-Based-Defocus-Blur-Estimation-With-Adaptive-Scale-Selection

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18 星标·10 分支·Python·MIT·4 次浏览

TIP2018 Edge Based Defocus Blur Estimation With Adaptive Scale Selection

A. Karaali, CR. Jung, "Edge-Based Defocus Blur Estimation with Adaptive Scale Selection", IEEE Transactions on Image Processing (TIP 2018), 2018

Features

  • Defocus Deblurring - Edge-based blur estimation with adaptive scale selection.

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TIP2018 Edge Based Defocus Blur Estimation With Adaptive Scale Selection 的开源替代方案

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  • abdullah-abuolaim/multi-task-defocus-deblurring-dual-pixel-nimatAbdullah-Abuolaim 的头像

    Abdullah-Abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat

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    Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy achieves +1dB PSNR improvement over state-of-the-art defocus deblurring methods. In addition, our multi-task framework allows a

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  • abdullah-abuolaim/recurrent-defocus-deblurring-synth-dual-pixelAbdullah-Abuolaim 的头像

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    Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.

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  • abdullah-abuolaim/defocus-deblurring-dual-pixelAbdullah-Abuolaim 的头像

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    Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

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查看 TIP2018 Edge Based Defocus Blur Estimation With Adaptive Scale Selection 的所有 21 个替代方案→

常见问题解答

alikaraali/tip2018-edge-based-defocus-blur-estimation-with-adaptive-scale-selection 是做什么的?

A. Karaali, CR. Jung, "Edge-Based Defocus Blur Estimation with Adaptive Scale Selection", IEEE Transactions on Image Processing (TIP 2018), 2018

alikaraali/tip2018-edge-based-defocus-blur-estimation-with-adaptive-scale-selection 的主要功能有哪些?

alikaraali/tip2018-edge-based-defocus-blur-estimation-with-adaptive-scale-selection 的主要功能包括:Defocus Deblurring。

alikaraali/tip2018-edge-based-defocus-blur-estimation-with-adaptive-scale-selection 有哪些开源替代品?

alikaraali/tip2018-edge-based-defocus-blur-estimation-with-adaptive-scale-selection 的开源替代品包括: abdullah-abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat — Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help… abdullah-abuolaim/recurrent-defocus-deblurring-synth-dual-pixel — Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data".… binorchen/aifnet — AIFNet: All-in-focus Image Restoration Networkusing a Light Field-based Dataset. bychelsea/cmos — [CVPR 2023] Better “CMOS” Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image… codeslake/dmenet — [CVPR 2019] Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation". abdullah-abuolaim/defocus-deblurring-dual-pixel — Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural…