Entropy encoding of difference images from adjacent visible human digital color photographic slices for lossless compression

Steven Meadows, George R. Thoma, L. Rodney Long, Sunanda Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The present investigation reports the results of entropy coding for lossless compression of the visible human (VH) color data set for archival purposes where any loss of information is not desirable. One of the main objectives of this investigation was to determine the role of a unique feature i.e. high correlation between adjacent VH slices in designing a lossless compression algorithm. This study demonstrates that lossless JPEG provides better compression of individual slices than the difference images despite low entropy content of the difference images. This may be attributed to abrupt variation in gray levels in difference images rather than smoothly varying individual images which are more suitable for lossless JPEG format. Huffman coding of the difference image frames provides a general idea of the compressibility of 3D predictive coding. However, a combination of binary arithmetic and predictive coding that takes advantage of the similarity between adjacent frames may yield the most efficient, lossless compression scheme for the VH slices.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages749-755
Number of pages7
ISBN (Print)0819424420
StatePublished - 1997
EventMedical Imaging 1997: Image Display - Newport Beach, CA, USA
Duration: Feb 23 1997Feb 25 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3031
ISSN (Print)0277-786X

Conference

ConferenceMedical Imaging 1997: Image Display
CityNewport Beach, CA, USA
Period02/23/9702/25/97

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    Meadows, S., Thoma, G. R., Long, L. R., & Mitra, S. (1997). Entropy encoding of difference images from adjacent visible human digital color photographic slices for lossless compression. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 749-755). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 3031). Society of Photo-Optical Instrumentation Engineers.