Image enhancement is considered as one of the most important techniques in image research. The main aim of image enhancement is to enhance the quality and visual appearance of an image, or to provide a better transform representation for future automated image processing.
We know that images are two dimensional function of the form \( f(x,y) \). The value or amplitude of \(f\) at a spatial coordinates \( (x,y) \) is a positive scalar quantity whose physical meaning is determined by the source of image.
Although the digital image processing field is built on a foundation of mathematical and probabilistic formulations, human intuition and analysis play a central role in the choice of one technique versus another,
An image may be defined as a two dimensional function, \( f(x,y) \), where \(x\) and \(y\) are spatial(plane) coordinates. The amplitude of \(f\) at any pair of coordinates \( (x,y) \) is called the intensity or
scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications.