Enhanced Resolution of Millimeter-Wave Images Using Projection Algorithm Built upon WRLA Framework

In this text, we further elaborate on the resolution challenges associated with millimeter-wave imaging. While millimeter-wave images offer numerous advantages, they inherently suffer from low resolution limitations. To address this issue, our program implements the WRLA (Wavelet-Regularized Linear Approximation) algorithm as the foundational framework, incorporating wavelet transforms for multi-scale analysis and regularized linear approximation for noise reduction. Building upon this foundation, we introduce a projection algorithm that performs iterative projection operations between wavelet coefficient domains to enhance high-frequency components. Through this enhancement approach, we effectively improve millimeter-wave image resolution, enabling clearer observation of fine details and distinctive features within the images. The implementation involves key functions for wavelet decomposition, regularization parameter optimization, and iterative projection operations between frequency domains.