Optimal rate allocation for joint compression and classification in JPEG2000

Ali Tabesh, Michael W. Marcellin, Mark A. Neifeld

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


We present a framework for optimal rate allocation to image subbands to minimize the distortion in the joint compression and classification of JPEG2000-compressed images. The distortion due to compression is defined as a weighted linear combination of the mean-square error (MSE) and the loss in the Bhattacharyya distance (BD) between the class-conditional distributions of the classes. Lossy compression with JPEG2000 is accomplished via deadzone uniform quantization of wavelet subbands. Neglecting the effect of the deadzone, expressions are derived for the distortion in the case of two classes with generalized Gaussian distributions (GGDs), based on the high-rate analysis of Poor. In this regime, the distortion function takes the form of a weighted MSE (WMSE) function, which can be minimized using reverse water-filling. We present experimental results based on synthetic data to evaluate the efficacy of the proposed rate allocation scheme. The results indicate that by varying the weight factor balancing the MSE and the Bhattacharyya distance, we can control the trade-off between these two terms in the distortion function.

Original languageEnglish (US)
Article number32
Pages (from-to)260-267
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue numberPART 1
StatePublished - 2004
EventApplications of Digital Image Processing XXVII - Denver, CO, United States
Duration: Aug 2 2004Aug 6 2004


  • Generalized gaussian distribution
  • JPEG2000
  • Joint compression and classification
  • Rate allocation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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