7.1 Tutorial: Extracting Information from a Picture

So, how do you separate noise from the meaningful elements in a picture? One way is to gather information about the image, via histograms, to see if there’s distortion in any of the channels. The image we’ll use in this tutorial isn’t particularly interesting, but it is representative of the problems you may encounter when dealing with badly taken photographs. As you can see in Figure 7-1, the picture’s quality is very poor. The photograph was taken through a closed window, in poor lighting, and with the camera’s automatic settings.

The initial photograph

Figure 7-1. The initial photograph

Dynamics Extension

Begin by gathering ...

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