M Tech Dissertations

Permanent URI for this collectionhttp://ir.daiict.ac.in/handle/123456789/3

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Subject: search.filters.subject.Digital Image

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    Medical image security with cheater identification using secret sharing scheme
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2015) Krishnan, Arun; Das, Manik Lal
    The progress in the field of information and communication technology has brought about quick and efficient transfer of textual as well as multimedia data . However, the growth of technology has also provided new ways for unauthorized access and illegal modifications of data, thereby, affecting data security. Secure data transmission is a necessity, especially in medical and legal fields. Doctors need to be convinced about the legitimacy of the medical images as well as associated health records they receive, especially in networking applications such as telediagnosis, teleconsultation,telesurgery etc. Furthermore, medical images should not be discernible to malignant agents with evil intentions on patient’s health. This thesis proposes a (k,n) secret sharing scheme for secure transfer of medical images and related electronic patient records (EPR) to a team of doctors through public insecure channels. The scheme prevents unauthorized access and detects illegal tampering of transmitted images and records. The scheme also considers the presence of a deceiver among the group of participants and includes techniques to detect any deception from the participant doctors and uniquely identify the deceiver. Furthermore, the scheme includes procedures to prevent the unauthorized release of medical image by any of the participating doctors. Simulation results shows that the proposed scheme satisfies all the security features discussed above.
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    ItemOpen Access
    Learning based approach for image compression
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2015) Kumar, Dheeraj; Joshi, Manjunath V.
    Data compression is a process of storing same information with less data or space in computer memory. There are many image compression techniques that are available for storing images with less storage space. Minimizing storage space minimizes the bandwidth required for transmission. In the proposed algorithm first level Discrete Wavelet Transformation (DWT, with Daubechies wavelets db4 as a mother wavelet) is applied on original image after which only low resolution coefficients are retained. Further Embedded Zero Tree Wavelet based algorithm (EZW) [10] is applied for best image quality at the given bit rate. We are using a set of images as database. For every input image Content Based Image Retrieval (CBIR) [7] technique is applied on database which results in some images, having similar content. At the receiver a learning based approach is used to decompress from resulted database images. Structure Similarity Index Measurement (SSIM) [15] an image quality assessment is used for similarity check. Inverse DWT is applied to get the estimate of the original. This is a lossy compression and results are compared with JPEG [13] and JPEG2000 [8] compression.