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Embedding in medical images with contrast enhancement and tamper detection capability

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Abstract

This paper presents an efficient data hiding technique capable of providing improved visual quality of watermarked images, besides having the ability to detect the tamper, if any. It is a spatial domain approach in which major emphasis is on improving the visual quality rather than increasing the PSNR or the embedding capacity. The medical images have been divided into Region of Interest (ROI) and Non-Region of Interest (NROI). Bringing out details that lie within the low dynamic range is very important in medical images for effective diagnosis. ROI being diagnostically critical region is enhanced using contrast stretching and subsequently, data is reversibly embedded into the peak bins of ROI. Only those peak bins are employed for reversible data embedding that have an adjacent empty bin to overcome the problem of overflow and underflow. In NROI, the uniform intensity and redundant information region, Least Significant Bit (LSB) embedding is employed for increasing the payload. For tamper detection, a fragile watermark has been embedded in the ROI. To evaluate the scheme various parameters like peak signal to noise ratio (PSNR), No-Reference Quality Metric for contrast-distorted images (NR-CDIQA) and Structural Similarity Index Matrix (SSIM) have been calculated. The experimental results show a remarkable increase in visual quality compared to state-of-art.

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Acknowledgments

The authors would like to thank the Department of Science and Technology (DST) New Delhi, Government of India for providing financial support under the DST Inspire Fellowship Scheme.

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Authors and Affiliations

  1. Department of Electronics& Instrumentation Technology, University of Kashmir, J, and K, Srinagar, 190006, India

    Shifa Showkat, Shabir A. Parah & Solihah Gull

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  1. Shifa Showkat
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  2. Shabir A. Parah
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  3. Solihah Gull
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Correspondence to Shabir A. Parah.

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Showkat, S., Parah, S.A. & Gull, S. Embedding in medical images with contrast enhancement and tamper detection capability. Multimed Tools Appl 80, 2009–2030 (2021). https://doi.org/10.1007/s11042-020-09732-6

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  • DOI: https://doi.org/10.1007/s11042-020-09732-6

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