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Image Restoration After Pixel Binning in Image Sensors

机译:图像传感器中像素合并后的图像恢复

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摘要

A method was developed to restore degraded images to some extent after the pixel binning pro-cess in image sensors to improve the resolution. A pixel binning model was used to approximate the original un-binned image. Then, the least squares error criterion was used as a constraint to reconstruct the re-stored pixel values from the binning model. The technique achieves about a one-decibel increase in the peak signal-to-noise ratio compared with the odginal estimated image. The technique has good detail pre-servation performance as well as low computation load. Thus, this restoration technique provides valuable improvements in practical, real time image processing.
机译:开发了一种方法以在图像传感器中的像素闪入Pro-CESS以改善分辨率之后在某种程度上恢复降级图像。使用像素分布模型来近似原始的未置入图像。然后,将最小二乘误差标准用作从分馏模型重建重建重建的重建的像素值的约束。与Odginal估计图像相比,该技术达到峰值信噪比的单分贝增加。该技术具有良好的细节预送常数性能以及低计算负载。因此,该恢复技术在实际,实时图像处理方面提供了有价值的改进。

著录项

  • 来源
    《清华大学学报(英文版)》 |2009年第4期|541-545|共5页
  • 作者单位

    Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China;

    Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China;

    Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China;

    Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China;

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  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 计算技术、计算机技术;
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