Efficient Compression of CT Images with Modified Branched Inverse Pyramidal Decomposition

In the paper is presented one novel approach for adaptive compression of groups of computer tomography (CT) images, based on modified branched inverse pyramid decomposition. In result is obtained high compression ratio with retained image quality. To achieve this, was used the high correlation between sequences of CT images, representing same object(s). For the processing of a group of CT images was used the Inverse Pyramid Decomposition (IPD), with a special Branched structure, called Modified ВIPD. The experimental results confirmed the efficiency of the presented method. The general characteristics of the new decomposition are a reliable basis for its successful use in various application areas for processing of similar (multi-view) or sequences of similar images. As it was proved by the experiments, this compression is very efficient when used for archiving of sequences of CT images. It could also be used for compression of still multispectral, hyper spectral or multi-view images and video sequences, obtained from surveillance video cameras, supersound scanners, thermo-vision systems, scanning microscopes, etc. Key-Words: Image processing, Archiving of CT images, Compression of sequences of medical images; Image group coding, Modified branched pyramidal image decomposition.