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RETRACTED ARTICLE: Lossless medical image compression algorithm using tetrolet transformation

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This article was retracted on 14 June 2022

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Abstract

In many analytical applications the reuse of medical images plays an important role. In order to store the images, image compression is the technique used to save the storage space and the storage time. The image compression is used in image transmission for the fast transmission. Also in health care sector the compressed image helps to make it complete computerized. The noise interference is the major problem in the image compression. Thus some compression techniques are used to remove the noise added in medical images. This will improve the quality of the compressed image. In image compression the medical image can be processed in deep degree by de-noising, edge preservation and high compression rate. The aim of the paper is develop an efficient computational tetrolet transform, which can be used in lossless compression. For analysis purpose various wavelet techniques are used and result is compared with this techniques. From the analysis it is inferred that by proposed technique is able to achieve a high quality images with low noise.

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Authors and Affiliations

  1. Easwari Engineering College, Chennai, India

    S. UmaMaheswari

  2. S. Veerasamy Chettiar College of Engineering and Technology, Puliangudi, India

    V. SrinivasaRaghavan

Authors
  1. S. UmaMaheswari
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  2. V. SrinivasaRaghavan
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Correspondence to S. UmaMaheswari.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-04132-0

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UmaMaheswari, S., SrinivasaRaghavan, V. RETRACTED ARTICLE: Lossless medical image compression algorithm using tetrolet transformation. J Ambient Intell Human Comput 12, 4127–4135 (2021). https://doi.org/10.1007/s12652-020-01792-8

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  • DOI: https://doi.org/10.1007/s12652-020-01792-8

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