Piecewise Linear Transformation of Grayscale Images

This program implements piecewise linear transformation for grayscale images using MATLAB. To better understand this process, let's examine the definition and background of grayscale image piecewise linear transformation. Piecewise linear transformation is an image processing technique that maps pixel values from the original image to new values, thereby altering the contrast and brightness of the original image. This technique finds applications in various fields such as medical image processing, industrial inspection, and computer vision. The MATLAB implementation typically involves defining multiple linear segments with different slopes and intercepts, creating a piecewise linear mapping function. Key functions used may include: - imread() for loading grayscale images - imshow() for displaying results - Custom functions to implement the piecewise linear transformation algorithm The core algorithm works by dividing the input intensity range into multiple intervals and applying distinct linear transformations to each segment. This approach allows for precise control over contrast enhancement in specific intensity regions while preserving details in others. MATLAB serves as an ideal platform for this implementation due to its comprehensive scientific computing capabilities and extensive image processing toolbox. The program provides a practical framework for understanding and applying piecewise linear transformation techniques, offering customizable parameters for different transformation scenarios.