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Bayes Filter based Jitter Noise Removal in Shape Recovery from Image Focus

机译：从图像聚焦恢复形状中基于贝叶斯滤波器的抖动噪声消除

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摘要

Shape from Focus (SFF) is a passive technique that is used to recover the 3D shape of an object using a series of images with different focus settings. When 2D image sequences are obtained with a specific sampling step size along the optical axis in SFF, mechanical vibrations occur in the position of each image frame. These mechanical vibrations, also referred as jitter noise, affect the accuracy of 3D shape recovery. In this manuscript, the jitter noise and focus curves are modeled as Gaussian function. This is followed by a Bayes filter application, designed to reduce the jitter noise. The filter is applied to each image frame in the Gaussian approximation of the focus curve. The proposed method is experimented by using synthetic and real objects to show performance improvement. (C) 2019 Society for Imaging Science and Technology.%020501.1-020501.12
机译：聚焦形状（SFF）是一种被动技术，用于使用一系列具有不同聚焦设置的图像来恢复对象的3D形状。当在SFF中沿光轴以特定的采样步长获得2D图像序列时，每个图像帧的位置都会发生机械振动。这些机械振动（也称为抖动噪声）会影响3D形状恢复的准确性。在此手稿中，抖动噪声和聚焦曲线被建模为高斯函数。其次是Bayes滤波器应用程序，旨在减少抖动噪声。滤波器以聚焦曲线的高斯近似应用于每个图像帧。通过使用合成对象和真实对象对提出的方法进行了实验，以显示性能的提高。 （C）2019影像科学与技术学会％020501.1-020501.12

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  • 来源
    《Journal of Imaging Science and Technology》 |2019年第2期|16-27|共12页
  • 作者

    Jang Hoon-Seok; Muhammad Mannan Saeed; Choi Tae-Sun;

  • 作者单位

    Gwangju Inst Sci & Technol, Signal & Image Proc Lab, 123 Cheomdan Gwagiro Oryong Dong, Gwangju 61005, South Korea;

    Sungkyunkwan Univ, Coll Informat & Commun, Mechatron Syst Design Lab, Nat Sci Campus,2066 Seobu Ro, Suwon 16419, South Korea;

    Gwangju Inst Sci & Technol, Signal & Image Proc Lab, 123 Cheomdan Gwagiro Oryong Dong, Gwangju 61005, South Korea;

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