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<p>The global expansion of multimedia data over the internet has led to a new revolution. Multimedia data, especially medical records, are to be dealt with utmost security for telemedicine applications. This paper presents a novel optimized watermarking technique that ensures the integrity of medical records that bear vital information. This presented technique utilizes the key features of the maximally stable extremal region (MSER) and adaptive neuro-fuzzy inference system (ANFIS) for watermarking. MSER algorithm aids in computing the region of interest (ROI), which is being further embedded with a generated hybrid watermark. To ensure better medical data privacy, a hybrid watermark is generated with two medical images. ANFIS optimization is used to maintain the trade-off among various attributes of watermarking. ANFIS optimization uses different salient features of the images to compute the optimal gain factor. Experimental results analysis highlights the effectiveness of the proposed technique in terms of performance, such as robustness, imperceptibility, etc. Moreover, the proposed method offers better results than the pertaining techniques.</p>

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ANFISmark: ANFIS-based secure watermarking approach for telemedicine applications

  • 期刊论文

  • 发表日期：

    2025年2月18日

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  • Divyanshu Awasthi,
  • Priyank Khare,
  • Vinay Kumar Srivastava

摘要

The global expansion of multimedia data over the internet has led to a new revolution. Multimedia data, especially medical records, are to be dealt with utmost security for telemedicine applications. This paper presents a novel optimized watermarking technique that ensures the integrity of medical records that bear vital information. This presented technique utilizes the key features of the maximally stable extremal region (MSER) and adaptive neuro-fuzzy inference system (ANFIS) for watermarking. MSER algorithm aids in computing the region of interest (ROI), which is being further embedded with a generated hybrid watermark. To ensure better medical data privacy, a hybrid watermark is generated with two medical images. ANFIS optimization is used to maintain the trade-off among various attributes of watermarking. ANFIS optimization uses different salient features of the images to compute the optimal gain factor. Experimental results analysis highlights the effectiveness of the proposed technique in terms of performance, such as robustness, imperceptibility, etc. Moreover, the proposed method offers better results than the pertaining techniques.