Converting Input Grayscale Images to RGB Pseudocolor Images for Output

Resource Overview

Programmatically convert input grayscale images to RGB pseudocolor images for output using MATLAB implementation with color mapping techniques.

Detailed Documentation

Develop a MATLAB program to convert input grayscale images into RGB pseudocolor images for output. Pseudocolor images are created by mapping grayscale values to corresponding RGB color space pixel values. Based on the intensity levels of grayscale values, different colors are assigned through a color mapping function, creating vibrant multicolor effects in the resulting image. This implementation typically involves using MATLAB's built-in colormap functions (such as jet, hot, or parula) or custom color lookup tables to transform single-channel grayscale data into three-channel RGB data. The process can be achieved through matrix operations where each grayscale intensity value serves as an index to select corresponding RGB values from a predefined color palette. Pseudocolor imaging finds extensive applications in laboratory research, medical image processing, and computer graphics for enhanced visualization and data interpretation.