Autors: Kushlev, S. D., Mironov, R. P.
Title: Analysis for Watermark in Medical Image using Watermarking with Wavelet Transform and DCT
Keywords: Medical Image Watermarking, Discrete Wavelet transform, Discrete Cosine transform

Abstract: An analysis for increasing the transparency of digital watermarking of medical images, using discrete Wavelet transform and DCT is presented. The analysis ensures watermarking with high resistant of the watermark, to commonly used types of malicious image processing. The results for the analysis of the transparency on the watermark image is based on the signal to noise ration and mean-square error after watermarking the image.



    55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST 2020), pp. 185-188, 2020, Serbia, IEEE, ISBN 978-1-7281-7144-9

    Цитирания (Citation/s):
    1. Nguyen-Thanh T., Le-Tien T. Robust Blind Medical Image Watermarking Using Quantization and SIFT with Enhanced Security. Journal of Advances in Information Technology, Open Access, Volume 13, Issue 1, Pages 45 - 52, February 2022, Article number 7. DOI: 10.12720/jait.13.1.45-52 - 2022 - в издания, индексирани в Scopus или Web of Science
    2. Safitri I., Novamizanti L., Laksono A.S. Compressive Sensing Image Watermarking Orthogonal Matching Pursuit. 9th International Conference on Information and Communication Technology, ICoICT 2021, Pages 42 - 47, Virtual, Yogyakarta, Indonesia, 3-5 August 2021, IEEE, Code 171614. DOI: 10.1109/ICoICT52021.2021.9527468 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus