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Comment: Simple space-varying least squares model for lossless medical image compression

Journal Article


Abstract

  • Das and Li proposed a simple method for lossless predictive image coding using two-dimensional space-varying least squares models. It has been observed that the region of support chosen for the predictor need not be as indicated by Das and Li, especially when the choice is motivated by a tradeoff between the performance and numerical complexity of the predictor. A much simpler region of support is suggested and simulation results are provided to show that a better performance is achievable by using the proposed region of support. © 1995, IEE. All rights reserved.

Publication Date

  • 1995

Citation

  • Wang, J., Ogunbona, P. O., & Naghdy, G. (1995). Comment: Simple space-varying least squares model for lossless medical image compression. Electronics Letters, 31(9), 710. doi:10.1049/el:19950488

Scopus Eid

  • 2-s2.0-85024268829

Web Of Science Accession Number

Start Page

  • 710

Volume

  • 31

Issue

  • 9

Abstract

  • Das and Li proposed a simple method for lossless predictive image coding using two-dimensional space-varying least squares models. It has been observed that the region of support chosen for the predictor need not be as indicated by Das and Li, especially when the choice is motivated by a tradeoff between the performance and numerical complexity of the predictor. A much simpler region of support is suggested and simulation results are provided to show that a better performance is achievable by using the proposed region of support. © 1995, IEE. All rights reserved.

Publication Date

  • 1995

Citation

  • Wang, J., Ogunbona, P. O., & Naghdy, G. (1995). Comment: Simple space-varying least squares model for lossless medical image compression. Electronics Letters, 31(9), 710. doi:10.1049/el:19950488

Scopus Eid

  • 2-s2.0-85024268829

Web Of Science Accession Number

Start Page

  • 710

Volume

  • 31

Issue

  • 9