Image Compression Using Matrix Singular Value Decomposition

This method compresses images through matrix singular value decomposition by first dividing the image into blocks, computing inner products of corresponding pixels within each block to obtain correlation matrix A, performing SVD on A, selecting n (n<N) dominant eigenvectors corresponding to larger eigenvalues, and using inner products between these vectors and image blocks for compression and reconstruction.