ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 A Watermarking Technique for Biomedical Images Using SMQT, Otsu, and Fuzzy C-Means
Cited 4 time in scopus Download 25 time Share share facebook twitter linkedin kakaostory
저자
Shaekh Hasan Shoron, Monamy Islam, Jia Uddin, 손동구, 임기창, 박정호, 임동선, 장병태, 김종면
발행일
201909
출처
Electronics, v.8 no.9, pp.1-9
ISSN
2079-9292
출판사
MDPI
DOI
https://dx.doi.org/10.3390/electronics8090975
협약과제
19ZS1300, 주력 산업 고도화를 위한 지능형 상황인지 기반 기술 개발, 김도현
초록
Digital watermarking is a process of giving security from unauthorized use. To protect the data from any kind of misuse while transferring, digital watermarking is the most popular authentication technique. This paper proposes a novel digital watermarking scheme for biomedical images. In the model, initially, the biomedical image is preprocessed using improved successive mean quantization transform (SMQT) which uses the Otsu's threshold value. In the next phase, the image is segmented using Otsu and Fuzzy c-means. Afterwards, the watermark is embedded in the image using discrete wavelet transform (DWT) and inverse DWT (IDWT). Finally, the watermark is extracted from the biomedical image by executing the inverse operation of the embedding process. Experimental results exhibit that the proposed digital watermarking scheme outperforms the typical models in terms of effectiveness and imperceptibility while maintaining robustness against different attacks by demonstrating a lower bit error rate (BER), a cross-correlation value closer to one, and higher values of structural similarity index measures (SSIM) and peak signal-to-noise ratio (PSNR).
키워드
Biomedical image, Confidentiality, Digital watermarking, Fuzzy c-means cluster, Imperceptibility, Robustness, Successive mean quantization transform
KSP 제안 키워드
Authentication technique, Bit Error Rate(And BER), Cross-Correlation, Discrete wavelet transform(DWT-EE), Embedding process, Fuzzy c-means cluster, Otsu's threshold, Peak-Signal-to-Noise-Ratio(PSNR), Signal noise ratio(SNR), Structural SIMilarity index, Structure Similarity Index measure(SSIM)
본 저작물은 크리에이티브 커먼즈 저작자 표시 (CC BY) 조건에 따라 이용할 수 있습니다.
저작자 표시 (CC BY)