Near-lossless image compression techniques

Rashid Ansari, Ersan Ceran, Nasir Memon

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


Methods of near-lossless image compression based on the criterion of maximum allowable deviation of pixel values are described in this paper. Predictive and multiresolution techniques for performing near-lossless compression are investigated. A procedure for near-lossless compression using a modification of lossless predictive coding techniques to satisfy the specified tolerance is described. Simulation results with modified versions of two of the best lossless predictive coding techniques known, CALIC and JPEG-LS, are provided. It is shown that the application of lossless coding based on reversible transforms in conjunction with pre-quantization is inferior to predictive techniques for near-lossless compression. A partial embedding two-layer scheme is proposed in which an embedded multiresolution coder generates a lossy base layer, and a simple but effective context-based lossless coder codes the difference between the original image and the lossy reconstruction. Simulation results show that this lossy plus near-lossless technique yields compression ratios very close to those obtained with predictive techniques, while providing the feature of a partially embedded bit-stream.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsS.A. Rajala, M. Rabbani
Number of pages12
StatePublished - 1998
EventVisual Communications and Image Processing '98 - San Jose, CA, United States
Duration: Jan 28 1998Jan 30 1998


OtherVisual Communications and Image Processing '98
Country/TerritoryUnited States
CitySan Jose, CA


  • Embedded coding
  • Multiresolution
  • Near-lossless compression
  • Predictive coding

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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