Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique
Autor: | Siau-Chuin Liew, Jasni Mohamad Zain, Gran Badshah, Mushtaq Ali |
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Rok vydání: | 2015 |
Předmět: |
Health Information Exchange
Theoretical computer science Teleradiology Computer science Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputingMilieux_LEGALASPECTSOFCOMPUTING Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Lossy compression Article Image Interpretation Computer-Assisted 0202 electrical engineering electronic engineering information engineering Humans Radiology Nuclear Medicine and imaging Computer vision Digital watermarking Computer Security Lossless compression Radiological and Ultrasound Technology business.industry Payload (computing) 020207 software engineering Lempel–Ziv–Welch Watermark Data Compression Computer Science Applications 020201 artificial intelligence & image processing Artificial intelligence business Image compression Data compression |
Zdroj: | Journal of Digital Imaging. 29:216-225 |
ISSN: | 1618-727X 0897-1889 |
Popis: | 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. |
Databáze: | OpenAIRE |
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