Literature DB >> 16026779

Medical image compression using 3-D Hartley transform.

R Shyam Sunder1, C Eswaran, N Sriraam.   

Abstract

In this paper, 3-D discrete Hartley transform is applied for the compression of two medical modalities, namely, magnetic resonance images and X-ray angiograms and the performance results are compared with those of 3-D discrete cosine and Fourier transforms using the parameters such as PSNR and bit rate. It is shown that the 3-D discrete Hartley transform is better than the other two transforms for magnetic resonance brain images whereas for the X-ray angiograms, the 3-D discrete cosine transform is found to be superior.

Mesh:

Year:  2005        PMID: 16026779     DOI: 10.1016/j.compbiomed.2005.04.005

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  4 in total

1.  Progressive visualization of losslessly compressed DICOM files over the Internet.

Authors:  Denis Obrul; Yongkui Liu; Borut Zalik
Journal:  J Med Syst       Date:  2011-01-18       Impact factor: 4.460

2.  COMPUTATIONAL 2D and 3D MEDICAL IMAGE DATA COMPRESSION MODELS.

Authors:  S Boopathiraja; V Punitha; P Kalavathi; V B Surya Prasath
Journal:  Arch Comput Methods Eng       Date:  2021-05-07       Impact factor: 7.302

3.  Volumetric medical image compression using 3D listless embedded block partitioning.

Authors:  Ranjan K Senapati; P M K Prasad; Gandharba Swain; T N Shankar
Journal:  Springerplus       Date:  2016-12-20

4.  Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction.

Authors:  Naoki Yamato; Hirohiko Niioka; Jun Miyake; Mamoru Hashimoto
Journal:  Sci Rep       Date:  2020-09-16       Impact factor: 4.379

  4 in total

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