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Robustness of a perceptually lossless medical image coder: Interpolation

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conference contribution
posted on 2024-11-23, 01:55 authored by Shan Chai, David Wu, Damian Tan, Hong Ren WuHong Ren Wu
Perceptually lossless medical image coding is an alternative for compressing medical images. It provides a solution to the challenge of delivering clinically critical information in the shortest time possible. In this paper, an investigation of the robustness of the perceptually lossless image coder is carried out by applying bilinear, biquadratic and bicubic standard and centered B-spline interpolation filters. In order to evaluate the visual performance, a subjective assessment was conducted consisting of 30 medical images and 6 image processing experts. Here, the perceptually lossless medical image coder was compared to the state-of-the-art JPEG-LS compliant LOCO and NLOCO image coders. Current results have shown that overall, there were no perceivable differences of statistical significance when the medical images were enlarged by a factor of 2.

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Related Materials

  1. 1.
    DOI - Is published in 10.1109/ISPACS.2006.364793
  2. 2.
    ISBN - Is published in 9780780397323 (urn:isbn:9780780397323)

Start page

931

End page

934

Total pages

4

Outlet

Proceedings of 2006 international symposium on intelligent signal processing and communication systems

Editors

Yoshio Itoh

Name of conference

International symposium on intelligent signal processing and communication systems

Publisher

IEEE

Place published

Piscataway, USA

Start date

2006-12-12

End date

2006-12-15

Language

English

Copyright

© IEEE 2006

Former Identifier

2006001747

Esploro creation date

2020-06-22

Fedora creation date

2009-12-09

Open access

  • Yes

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