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To mitigate the absence of shift-invariant in down-sampling, we propose the learnable blur kernel (LBK), that can enhance the feature extraction capability by ...
Nov 1, 2023 · PDF | On Sep 26, 2020, Zelin Peng and others published A Learnable Blur Kernel for Remote Sensing Image Retrieval | Find, read and cite all ...
Our experiments show that the proper combination of two parts, down-sampling and learning blur kernel, can improve the per- formance of modern CNNs in RS image ...
Jan 15, 2021 · This paper regulates the structure of the blur kernel. We propose a kernel mixture structure while using the Gaussian kernel as a base kernel.
Learnable Blur Kernel for Single-Image Defocus Deblurring in ...
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Jun 26, 2023 · We propose a novel defocus deblurring method that uses the guidance of the defocus map to implement image deblurring.
Missing: Remote Retrieval.
In this paper, an image restoration technique based on the Gaussian Second Derivative (GSD) fitted PSF is proposed to address this problem.
In this paper, an algorithm based on local binary pattern (LBP) is proposed to obtain clear remote sensing images under the premise of unknown causes of ...
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Dec 7, 2024 · AKMD-Net consists of two main branches: deblurring and super-resolution branches. In the deblurring branch, we design a pixel-adjustable kernel ...
Content-based remote sensing image retrieval | Request PDF
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A Learnable Blur Kernel for Remote Sensing Image Retrieval. Conference Paper. Full-text available. Sep 2020. Zelin Peng · Guanchun Wang ...
This paper addresses the problem of blind deblurring of single remote sensing (RS) images with deep neural networks.
Missing: Learnable | Show results with:Learnable