Image Denoising Using Scale Mixtures of Gaussians in Wavelet Domain

This simulation algorithm implements the image denoising method presented in the paper "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain". The algorithm employs Gaussian scale mixtures in the wavelet domain to effectively reduce noise while preserving image quality. Building upon previous research, the implementation incorporates improvements and optimizations to achieve superior denoising performance across various scenarios. The core implementation typically involves wavelet decomposition, statistical modeling of coefficients using Gaussian mixtures, and iterative parameter estimation through Expectation-Maximization (EM) algorithms. Experimental validation has yielded satisfactory results, demonstrating both the effectiveness and practicality of this approach. Future research directions include further algorithm enhancements to handle more complex denoising challenges, with potential applications expanding to medical imaging processing and computer vision systems where noise reduction is critical for accurate analysis.