Literature DB >> 26429361

Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique.

Gran Badshah1, Siau-Chuin Liew2, Jasni Mohd Zain2, Mushtaq Ali2.   

Abstract

In teleradiology, image contents may be altered due to noisy communication channels and hacker manipulation. Medical image data is very sensitive and can not tolerate any illegal change. Illegally changed image-based analysis could result in wrong medical decision. Digital watermarking technique can be used to authenticate images and detect as well as recover illegal changes made to teleradiology images. Watermarking of medical images with heavy payload watermarks causes image perceptual degradation. The image perceptual degradation directly affects medical diagnosis. To maintain the image perceptual and diagnostic qualities standard during watermarking, the watermark should be lossless compressed. This paper focuses on watermarking of ultrasound medical images with Lempel-Ziv-Welch (LZW) lossless-compressed watermarks. The watermark lossless compression reduces watermark payload without data loss. In this research work, watermark is the combination of defined region of interest (ROI) and image watermarking secret key. The performance of the LZW compression technique was compared with other conventional compression methods based on compression ratio. LZW was found better and used for watermark lossless compression in ultrasound medical images watermarking. Tabulated results show the watermark bits reduction, image watermarking with effective tamper detection and lossless recovery.

Keywords:  Compression; Digital watermark; LZW lossless compression; Secret key; Teleradiology; Ultrasound medical image

Mesh:

Year:  2016        PMID: 26429361      PMCID: PMC4788619          DOI: 10.1007/s10278-015-9822-4

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


  7 in total

1.  A quality-on-demand algorithm for wavelet-based compression of electrocardiogram signals.

Authors:  Shaou-Gang Miaou; Chih-Lung Lin
Journal:  IEEE Trans Biomed Eng       Date:  2002-03       Impact factor: 4.538

2.  Application of adaptive constructive neural networks to image compression.

Authors:  L Ma; K Khorasani
Journal:  IEEE Trans Neural Netw       Date:  2002

3.  A journey into low-dimensional spaces with autoassociative neural networks.

Authors:  M Daszykowski; B Walczak; D L Massart
Journal:  Talanta       Date:  2003-05-01       Impact factor: 6.057

4.  Tamper localization and lossless recovery watermarking scheme with ROI segmentation and multilevel authentication.

Authors:  Siau-Chuin Liew; Siau-Way Liew; Jasni Mohd Zain
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

5.  Effective management of medical information through ROI-lossless fragile image watermarking technique.

Authors:  Sudeb Das; Malay Kumar Kundu
Journal:  Comput Methods Programs Biomed       Date:  2013-06-29       Impact factor: 5.428

6.  A review of medical image watermarking requirements for teleradiology.

Authors:  Hussain Nyeem; Wageeh Boles; Colin Boyd
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

7.  An improved tamper detection and localization scheme for volumetric DICOM images.

Authors:  Wenbo Dou; Chueh Loo Poh; Yong Liang Guan
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

  7 in total
  3 in total

1.  Watermarking of ultrasound medical images in teleradiology using compressed watermark.

Authors:  Gran Badshah; Siau-Chuin Liew; Jasni Mohamad Zain; Mushtaq Ali
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-25

2.  Multipurpose medical image watermarking for effective security solutions.

Authors:  Rishi Sinhal; Sachin Sharma; Irshad Ahmad Ansari; Varun Bajaj
Journal:  Multimed Tools Appl       Date:  2022-02-25       Impact factor: 2.577

3.  A Novel Image Processing Approach to Enhancement and Compression of X-ray Images.

Authors:  Yaghoub Pourasad; Fausto Cavallaro
Journal:  Int J Environ Res Public Health       Date:  2021-06-22       Impact factor: 3.390

  3 in total

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