CS4670/5670: Intro to Computer Vision. Noah Snavely. Lecture 1: Images and image filtering. Hybrid Images, Oliva et al., http://cvcl.mit.edu/hybridimage.htm. CS4670: Computer Vision. Noah Snavely. Lecture 1: Images and image filtering.
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Lecture 1: Images and image filtering
Hybrid Images, Oliva et al., http://cvcl.mit.edu/hybridimage.htm
We’ll focus on these in this class
(More on this process later)
Source: A. Efros
(common to use one byte per value: 0 = black, 255 = white)
f (x, y)
Take lots of images and average them!
What’s the next best thing?
Source: S. Seitz
Local image data
Modified image data
Source: L. Zhang
This is called a cross-correlation operation:
This is called a convolution operation:
Adapted from F. Durand
Source: D. Lowe
Source: D. Forsyth
Source: C. Rasmussen
= 1 pixel
= 10 pixels
= 30 pixels
= 5 pixels
Source: K. Grauman
Source: Fergus, et al. “Removing Camera Shake from a Single Photograph”, SIGGRAPH 2006
Bokeh: Blur in out-of-focus regions of an image.