[学习笔记] CS131 Computer Vision: Foundations and Applications（Lecture 4 像素和滤波器） _Applications

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Background reading: Forsyth and Ponce, Computer Vision Chapter 7
Image sampling and quantization
【[学习笔记] CS131 Computer Vision: Foundations and Applications（Lecture 4 像素和滤波器）】Types of images: binary, gray scale, color

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Resolution: DPI: dots per inch, spatial pixel density

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Image histograms: histogram of an image provides the frequency of the brightness(intensity) value in the image
Image as functions: an image is a funciton $f$ from $R^2$ to $R^M$
Linear systems: Forming a new image whose pixel values are transformed from original pixel values
Goal: extract useful information from images, or transform images into another domain where we can modify/enhance image properties.