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Bayesian method application for color demosaicking

机译:贝叶斯方法在彩色去马赛克中的应用

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摘要

This study presents a Bayesian approach based on a color image demosaicking algorithm. The proposed method is composed of pointwise and patchwise measurements. The estimation of the missing pixel is formulated as a maximum a posteriori and a minimum energy function. By utilizing Bayesian theory and some prior knowledge, the missing color information is estimated with a statistics-based approach. Under the maximum a posteriori and Bayesian framework, the desired target image corresponds to the optimal reconstruction given the mosaicked image. Compared with existing demosaicking methods, the proposed algorithm improves the CPSNR, S-CIELAB, FSIM, and zipper effect measurements while maintaining high efficiency. Moreover, it handles Gaussian and Poisson noisy images better than other conventional images.
机译:这项研究提出了一种基于彩色图像去马赛克算法的贝叶斯方法。所提出的方法由逐点和逐点测量组成。将丢失像素的估计公式化为最大后验和最小能量函数。通过利用贝叶斯理论和一些先验知识,可以使用基于统计的方法来估计丢失的颜色信息。在最大后验和贝叶斯框架下,所需目标图像对应于给定镶嵌图像的最佳重建。与现有的去马赛克方法相比,该算法改进了CPSNR,S-CIELAB,FSIM和拉链效果测量,同时保持了较高的效率。而且,它比其他常规图像更好地处理高斯和泊松噪声图像。

著录项

  • 来源
    《Optical engineering》 |2018年第5期|053102.1-053102.14|共14页
  • 作者单位

    lncheon National University, Department of Embedded Systems Engineering, Incheon, Republic of Korea,Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, Shaanxi, China;

    Xidian University, School of Electronic Engineering, Xi'an, Shaanxi, China;

    Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, Shaanxi, China;

    Universita degli Studi di Milano, Dipartimento di Informatica, Crema, Italy;

    lncheon National University, Department of Embedded Systems Engineering, Incheon, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bayesian approach; Taylor series; demosaicking; color channel; real-time process; maximum a posteriori;

    机译:贝叶斯方法;泰勒级数;脱俗颜色通道;实时过程;最大后验;

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