Implementing Image Pseudocolor Processing Using Gray Level Transformation and Frequency Domain Filtering Methods

In this project, we will explore two distinct methods for implementing image pseudocolor processing: gray level transformation and frequency domain filtering. Both approaches have their respective advantages and limitations, which we will thoroughly examine along with their working principles and implementation techniques. During the MATLAB programming process, we will progressively demonstrate how to implement these algorithms using key functions such as rgb2gray for grayscale conversion, colormap for color mapping, and fft2/ifft2 for Fourier transform operations. The implementation will include detailed explanations of histogram equalization techniques for gray level transformation and band-pass filter design for frequency domain processing. We will also showcase how to test and compare their performance using quantitative metrics like PSNR (Peak Signal-to-Noise Ratio) and qualitative visual assessment. Through this research, we will deepen our understanding of various image processing techniques and master their practical applications in real-world scenarios.