MATLAB Code Implementation for Pseudocolor Transformation

Pseudocolor transformation is a technique that converts grayscale images into color images, commonly used to enhance visual perception or emphasize details within specific grayscale ranges. In MATLAB, pseudocolor transformation can be implemented using built-in colormap functions or custom color mapping schemes.

Implementation Approach: Loading Grayscale Images: Use MATLAB's `imread` function to load the original grayscale image into the workspace as a 2D matrix. Applying Color Mapping: Implement color transformation through either the `colormap` function with predefined color schemes (like 'jet', 'hot', or 'parula') or by creating custom mapping rules that convert grayscale intensity values to corresponding RGB color triplets. Displaying Results: Visualize the transformed pseudocolor image using `imshow` for basic display or `imagesc` for scaled image display with automatic colorbar implementation.

By adjusting color mapping schemes, different grayscale ranges can be emphasized for various applications - such as tissue layer differentiation in medical imaging or land cover classification in remote sensing imagery. Pseudocolor transformation not only improves visual presentation but also assists in data analysis and feature identification by mapping intensity variations to distinguishable color differences.

Key MATLAB functions involved include image processing toolbox functions for handling intensity transformations and colormap manipulations, with optional custom LUT (Look-Up Table) implementations for specialized mapping requirements.