February 2014
Intermediate to advanced
390 pages
6h 12m
English
Content preview from Image Processing and Acquisition using PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 5
Image Enhancement
5.1 Introduction
In previous chapters we discussed image filters. The filter enhances the quality of image so that important details can be visualized and quantified. In this chapter, we discuss a few more image enhancement techniques. These techniques transform the pixel values in the input image to a new value in the output image using a mapping function. We discuss logarithmic transformation, power law transformation, image inverse, histogram equalization, and contrast stretching. For more information on image enhancement refer to [37],[71],[74].
5.2 Pixel Transformation
A transformation is a function that maps set of inputs to set of outputs so that each input has has exactly one output. For example, T(x) = x
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