Translating and implementing Structural Similarity Metric Loss from research to code. Exploring the equation as a simple program using numpy, then adding in optimization methods. Core functionality will showcase disparity loss as python code using Numpy, CUDA programming and PyTorch.
References: "Image Quality Assessment: From Error Visibility to Structural Similarity" https://www.cns.nyu.edu/pub/lcv/wang03-preprint.pdf "The Level Weighted Structural Similarity Loss: A Step Away from MSE" https://arxiv.org/pdf/1904.13362