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Image-Compression-using-SVD

The repository contains an implementation of image compression using singular value decomposition by finding k-rank approximators for a given image matrix. Additionally, there is a pdf describing the code, showing its correctness, and explaining the theory behind the procedure.

PDFs might be easier to view from drive.

Drive: https://drive.google.com/drive/folders/12g9blSfxkuYnipv5UkYQ367o1O8ICL__?usp=sharing

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Project for Foundations of Data Science, Ashoka University

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