Literature DB >> 25708892

Symmetry-Based Biomedical Image Compression.

V K Bairagi1.   

Abstract

Image compression techniques aim at reducing the amount of data needed to accurately represent an image, such that the image can be economically transmitted or archived. This paper deals with employing symmetry as a parameter for compression of biomedical images. The approach presented in this paper offers great potential in complete lossless compression of the biomedical image under consideration, with the reconstructed image being mathematically identical to the original image. The method comprises getting rid of the redundant data and encoding the non-redundant data for the purpose of regenerating the image at the receiver section without any observable change in the image data.

Keywords:  Biomedical image compression; Diagnostic ability; Redundancy; Symmetry

Mesh:

Year:  2015        PMID: 25708892      PMCID: PMC4636716          DOI: 10.1007/s10278-015-9779-3

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  4 in total

1.  Symmetry axis computation for almost-symmetrical and asymmetrical objects: application to pigmented skin lesions.

Authors:  P Schmid-Saugeon
Journal:  Med Image Anal       Date:  2000-09       Impact factor: 8.545

2.  A lossless compression method for medical image sequences using JPEG-LS and interframe coding.

Authors:  Shaou-Gang Miaou; Fu-Sheng Ke; Shu-Ching Chen
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-05-15

3.  Symmetry-based scalable lossless compression of 3D medical image data.

Authors:  V Sanchez; R Abugharbieh; P Nasiopoulos
Journal:  IEEE Trans Med Imaging       Date:  2009-01-19       Impact factor: 10.048

4.  Adaptive compression algorithm from projections: application on medical greyscale images.

Authors:  Giuseppe Placidi
Journal:  Comput Biol Med       Date:  2009-08-15       Impact factor: 4.589

  4 in total
  1 in total

1.  Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ.

Authors:  Chethana Sridhar; Piyush Kumar Pareek; R Kalidoss; Sajjad Shaukat Jamal; Prashant Kumar Shukla; Stephen Jeswinde Nuagah
Journal:  J Healthc Eng       Date:  2022-02-26       Impact factor: 2.682

  1 in total

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