rehanganapathy / image-compression-matlab

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image-compression-matlab

All an image is, is data represented on a matrix being visually displayed to you through pixels of red, green and blue on your computer. This data can be manipulated through the use of the SVD theorem to calculate a level of precision close to the original without storing as much data. The SVD allows us to store (#π‘šπ‘œπ‘‘π‘’π‘ )(π‘š + 𝑛) information instead of (π‘š Γ— 𝑛) information where the size of the image is π‘š Γ— 𝑛, or 3(#π‘šπ‘œπ‘‘π‘’π‘ )(π‘š + 𝑛) when the image is in color instead of 3(π‘š Γ— 𝑛).

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