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  1. Image-deconvolution-prior

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  2. 本源码是利用Sparse Prior复原图像的方法,其中包括频域和空域的复原比较,源码中有相应的文章Deconvolution using natural image priors-Deconvolution using natural image priors
  3. 所属分类:GDI-Bitmap

    • 发布日期:2016-11-13
    • 文件大小:817034
    • 提供者:吴晓明
  1. mmse_mrf_demo-1.1

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  2. 图像去噪-A Generative Perspective on MRFs in Low-Level Vision-A Generative Perspective on MRFs in Low-Level Vision Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative
  3. 所属分类:matlab

    • 发布日期:2017-05-03
    • 文件大小:1216448
    • 提供者:孙文义
  1. deblurring_demo-1.0

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  2. Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequenc
  3. 所属分类:matlab

    • 发布日期:2017-04-01
    • 文件大小:903760
    • 提供者:孙文义
  1. DeconvolutionCode-LevinEtAl07

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  2. 应用于超分辨成像; 图像处理; 图像重建;图像恢复(Deconvolution using natural image priors Gaussian Prior Deconvolution)
  3. 所属分类:图形图像处理

    • 发布日期:2018-05-06
    • 文件大小:718848
    • 提供者:luvky_girl
  1. 05567108.pdf

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  2. The sky region of restored images often appears serious noise and color distortion using classical dark channel prior algorithm. To address this is- sue, we propose an improved dark channel prior algorithm which recognizes the sky regions in hazy ima
  3. 所属分类:系统设计方案

    • 发布日期:2018-05-07
    • 文件大小:6621184
    • 提供者:YaqingChang
  1. Making a “Completely Blind” Image

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  2. An important aim of research on the blind image quality assessment (IQA) problem is to devise perceptual models that can predict the quality of distorted images with as little prior knowledge of the images or their distortions as possible. Curren
  3. 所属分类:编程文档

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