Reversible Data Hiding Using Integer Wavelet Transform and Companding Technique

Xuan, Guixin; Yang, Chengyun; Zhen, Yizhan; Shi, Yun Q.; Ni, Zhicheng

doi:10.1007/978-3-540-31805-7_10

Cited by 69 publications

(82 citation statements)

References 5 publications

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“…Column (c) shows the dissimilarity between watermarked and the original image, indicating indiscernible embedding of the watermark by using the best evolved expression using GP simulations The naked eye is unable to differentiate this difference, so some amplification is done to enhance the difference as shown in column Fig.7. compares the existing reversible watermarking techniques [36], [37], [28], [31], [18], [3], [35], [27], [25], [19], [8], [12] with the proposed IWT-Med. Tian's technique is quite interesting but its disadvantage is that for locating the expanded differences, extra information of location map is inserted besides the watermark in the image.…”

Section: Resultsmentioning

confidence: 99%

“…In proposed IRW-Med, histogram modification is applied before embedding the watermark to compress the histogram from both sides [36]. The total length of bookkeeping data is the amount of bits required to store BDS.…”

Section: Pre-processing and Histogram Modificationmentioning

confidence: 99%

“…This process is generally used in reducing the data rate of audio signals for achieving high ratio of signal to noise [36]. Companding applies compression to maps the signal from large to a narrow range, and then expansion restores the signal.…”

Section: Intelligent Companding Based Watermark Embeddingmentioning

confidence: 99%

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Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique

Arsalan

Qureshi

Khan

et al. 2017

Applied Soft Computing

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Rajarajan, M. (2017). Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique. Applied Soft Computing Journal, 51, pp. 1668-179. doi: 10.1016/j.asoc.2016.11.044 This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent AbstractThis work presents an intelligent technique based on reversible watermarking for protecting patient and medical related information. In the proposed technique 'IRW-Med', the concept of companding function is exploited for reducing embedding distortion, while Integer Wavelet Transform (IWT) is used as an embedding domain for achieving reversibility. Histogram processing is employed to avoid underflow/overflow. In addition, the learning capabilities of Genetic Programming (GP) are exploited for intelligent wavelet coefficient selection. In this context, GP is used to evolve models that not only make an optimal tradeoff between imperceptibility and capacity of the watermark, but also exploit the wavelet coefficient hidden dependencies and information related to the type of sub band. The novelty of the proposed IRW-Med technique lies in its ability to generate a model that can find optimal wavelet coefficients for embedding, and also acts as a companding factor for watermark embedding. The proposed IRW-Med is thus able to embed watermark with low distortion, take out the hidden information, and also recovers the original image. The proposed IRW-Med technique is effective with respect to capacity and imperceptibility and effectiveness is demonstrated through experimental comparisons with existing techniques using standard images as well as a publically available medical image dataset.

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Section: Resultsmentioning

confidence: 99%

Section: Pre-processing and Histogram Modificationmentioning

confidence: 99%

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Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique

Arsalan

Qureshi

Khan

et al. 2017

Applied Soft Computing

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“…Thủy vân dễ vỡ [2][3][4][5][6][7][8][9][10][11][12] yêu cầu dấu thủy vân phải nhạy cảm (dễ vỡ) trƣớc những sự tấn công trái phép trên dữ liệu thủy vân, dù chỉ vài bít. Do đó các lƣợc đồ này thƣờng đƣợc dùng trong việc phòng chống giả mạo, hay xác thực tính toàn vẹn của dữ liệu thủy vân.…”

Section: Giới Thiệuunclassified

“…Thủy vân thuận nghịch thƣờng sử dụng một số phép biến đổi nhƣ: mở rộng hiệu [2,7-8,10-11, 14-15,19]; dịch chuyển histogram [6]; wavelet nguyên [12], nén bảo toàn [18,22] và sử dụng đặc trƣng nén JPEG [3][4]9]. Ngoài ra, việc kết hợp kỹ thuật dự báo với mở rộng hiệu hoặc dịch chuyển histogram cũng nhận đƣợc nhiều sự quan tâm của các nhà nghiên cứu.…”

Section: Giới Thiệuunclassified