Image Negative Transformation in Spatial Domain | Digital Image Processing Technique

Welcome to DIP #12! Following our introduction to the spatial domain, this lecture by EC ACADEMY breaks down a fundamental point processing technique: Image Negative Transformation.

You will learn:

The definition and utility of an image negative (e.g., enhancing white or embedded details).
The simple mathematical formula: s = L - 1 - r, where 'L' is the maximum gray level, and 'r' is the original pixel intensity.
How to derive and apply the transformation function, illustrating the inversion of gray levels from darkest to lightest and vice-versa.
This technique is the basis for more complex intensity transformations in Digital Image Processing. This lecture is essential for students of Computer Science, Electronics Engineering, and related fields!

0:00 - Introduction to Point Processing in Spatial Domain
0:45 - The Concept of Image Negative Transformation
1:30 - Utility and Applications of Image Negatives
2:15 - Deriving the Transformation Function: s = L - 1 - r
4:00 - Mathematical Explanation and Graph of the Function
5:30 - Example of Gray Level Mapping

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