Three-Dimensional Image Compression Using 2.5D Spatial Subsampling and Reconstruction Using 2.5D Morphological Filters
Trupti Ahir, R.V.S. Satyanarayana · SSRN Electronic Journal · 2019
Three-dimensional image compression is an important requirement in 3D medical imaging applications. The paper describes a novel approach to compress a 3D image to 25% and reconstruct it so that the reconstructed image is almost close to the original image. Spatial sparsing is used to subsample every slice of a given 3D image, and slice-wise reconstruction is carried out using certain morphological filters. This technique is called 2.5D compression of 3D images.