Natural Image Statistics: A Probabilistic Approach to Early Computational Vision

Natural Image Statistics: A Probabilistic Approach to Early Computational Vision

简介:

这本书既是一本入门教科书,也是一本关于自然图像统计结构建模的研究专著。简单来说,“自然图像” 是我们生活的典型环境的照片。在本书中,使用许多统计模型描述了它们的统计结构,这些模型的参数是从图像样本中估计的。

本书面向视觉科学,计算神经科学,计算机视觉和图像处理方面的高级本科生,研究生和研究人员。它也可以被具有数学学科 (数学,统计学,理论物理学) 背景的人视为对该领域的介绍。由于该学科的多学科性质,该书的编写目的是使来自心理学,计算机科学,电气工程,神经生物学,数学,统计学和物理学等不同背景的观众可以使用。

英文简介:

This book is both an introductory textbook and a research monograph on modelling the statistical structure of natural images. In very simple terms, "natural images" are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples.

The book is targeted for advanced undergraduate students, graduate students and researchers in vision science, computational neuroscience, computer vision and image processing. It can also be read as an introduction to the area by people with a background in mathematical disciplines (mathematics, statistics, theoretical physics).

Due to the multidisciplinary nature of the subject, the book has been written so as to be accessible to an audience coming from very different backgrounds such as psychology, computer science, electrical engineering, neurobiology, mathematics, statistics and physics.

书名
Natural Image Statistics: A Probabilistic Approach to Early Computational Vision
译名
自然图像统计:早期计算视觉的概率方法
语言
英语
年份
2009
页数
487页
大小
9.16 MB
标签
  • 统计学
  • 下载
    pdf iconNatural Image Statistics: A Probabilistic Approach to Early Computational Vision.pdf
    密码
    65536

    最后更新:2025-04-12 23:54:39

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