whitening

PCA Whitening

PCA Whitening is a powerful tool for processing image data that can make inputs less redundant. By identifying and reducing the degree of correlation between adjacent pixels or feature values, this technique can help improve the accuracy and efficiency of image-based tasks. What is PCA Whitening? PCA (Principal Component Analysis) is a mathematical technique used to analyze and transform data, and it has a variety of applications in fields like statistics, machine learning, and image processi

ZCA Whitening

What is ZCA Whitening? ZCA Whitening is a method used for image preprocessing, which means it is a step that is taken to prepare an image for further analysis. Essentially, the goal of ZCA Whitening is to transform the data in an image so that the features (or elements) are uncorrelated, which can make it easier to work with the image data. ZCA stands for "Zero-phase Component Analysis," which refers to the mathematical techniques used to achieve this type of transformation. The end result of Z

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