Image compression reconstruction method based on spherical coordinate principal component analysis

The invention provides an image compression and reconstruction method based on spherical coordinate principal component analysis, and relates to the technical field of image compression, image pixel points of a Cartesian coordinate system are converted into a spherical coordinate system, so that an image has rotation invariance, and meanwhile, the space between rows and columns of a pixel point matrix is considered; and the standard deviation of element values in all image column and row spherical coordinate system matrixes is considered, that is, the correlation among multiple images is considered, the limitation that only a single image is compressed in a traditional method is overcome, the calculation cost can be reduced, and the storage space can also be reduced. In addition, according to the scheme, elements with low correlation are reserved, elements with high correlation are discarded, the space structure can be better reflected, the image compression effect is improved, compression is sufficient, and