2016 | OriginalPaper | Buchkapitel
Histograms and Image Statistics
verfasst von : Wilhelm Burger, Mark J. Burge
Erschienen in: Digital Image Processing
Verlag: Springer London
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Histograms are used to depict image statistics in an easily interpreted visual format. With a histogram, it is easy to determine certain types of problems in an image, for example, it is simple to conclude if an image is properly exposed by visual inspection of its histogram. In fact, histograms are so useful that modern digital cameras often provide a real-time histogram overlay on the viewfinder (Fig. 3.1) to help prevent taking poorly exposed pictures. It is important to catch errors like this at the image capture stage because poor exposure results in a permanent loss of information, which it is not possible to recover later using image-processing techniques. In addition to their usefulness during image capture, histograms are also used later to improve the visual appearance of an image and as a “forensic” tool for determining what type of processing has previously been applied to an image. The final part of this chapter shows how to calculate simple image statistics from the original image, its histogram, or the so-called integral image.