1. A method for decompression of a compressed image dataset comprising a sparse matrix containing a first set of pixels pertaining to information in an original image dataset, and a header containing a second set of pixels pertaining to noise in the original image dataset, comprising: growing information around a first set of pixels comprised in the sparse matrix of the compressed image dataset, resulting in regenerated information, growing noise information around the second set of pixels based on the distribution parameters comprised in the header of the compressed image dataset, resulting in regenerated noise, said step of growing noise information includes identifying each pixel in the compressed image dataset pertaining to noise, and regenerating a decompressed image dataset based on the regenerated information and the regenerated noise.