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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2021

25.03.2020

Wavelet Techniques for Medical Images Performance Analysis and Observations with EZW and Underwater Image Processing

verfasst von: Javed Miya, M. A. Ansari

Erschienen in: Wireless Personal Communications | Ausgabe 2/2021

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Abstract

The digitized image has an important role in the compression. Compression encodes the image using a certain algorithm with less number of bits and decompression decoded this image in original form using a different algorithm. The clinical environment and hospitals are moving towards digitization, computerization and centralization in the field of medical image processing. Content based compressions (CBC) techniques turns more considerable in the field of medical image processing and multimedia. However, CBC techniques alone are not adequate for all medical image processing applications. Therefore, in this paper, the EZW algorithm has been discussed with Haar wavelet and Bior4.4 technique on skeleton images with different type of image quality parameters. The analysis shows that the compression ratio (CR) of EZW with Bior4.4 on skeleton image is 44.19%, MSE is 527.73 and PSNR is 45.45. While, the CR of EZW with Haar on the same image is 40.31%, MSE is 699 and PSNR is 35.34 db. Further EZW can help precise capacity of amount, exterior area and other morph metric capacity of organic stuff, lacking removing them commencing the sea or in the marine environment.
Vorheriger Artikel Critical Analysis of Localization and Time Synchronization Algorithms in Underwater Wireless Sensor Networks: Issues and Challenges
Nächster Artikel Design and Analysis of Variation in Chlorophyll and Depth for Open Ocean Underwater Optical Communication

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Metadaten
Titel
Wavelet Techniques for Medical Images Performance Analysis and Observations with EZW and Underwater Image Processing
verfasst von
Javed Miya
M. A. Ansari
Publikationsdatum
25.03.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07238-w

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