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Publications (4)0 Total impact

  • [show abstract] [hide abstract]
    ABSTRACT: The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems, DCT and better audio quality. The results shown gives detail comparison between DWT and DCT. In this paper a novel method for digital audio Steganography with security i. e. cryptography is presented where covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain using quantization to reduce embedding error. Performance analysis based on quantization and wavelet decomposition is explained in result section. The characteristics of this method are imperceptibility, robustness, large payload, high audio quality and full recovery.
    Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25 - 26, 2011; 01/2011
  • Rashmi Salavi, Mandar Sohani, Amol Dhumal
    Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25 - 26, 2011; 01/2011
  • Kshitija Pol, Mandar Sohani, Sulbha Yadav
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    ABSTRACT: Image segmentation is the first step in image analysis and pattern recognition, and it is one of the most difficult tasks in image processing, and determines the quality of the final result of analysis. Image segmentation requires the improvement because most image segmentation solution is problem based. Biomedical image segmentation is different than normal image segmentation. Because normal image is taken from camera which is free of noise. While biomedical image is taken from MRI, CT, Microscopic Instrument or X-ray which is it noisy and fuzzy. Medical image segmentation methods generally have restrictions because medical images have very similar gray level and texture among the interested. While extracting region of interest in biomedical image, region of interest can avoid the processing of irrelevant image point. Biomedical Image segmentation is necessary when we want the computer to make decision, surgical planning and robotically assisted surgical invention. Biomedical image segmentation is nothing but the classification of similar pixel and their following extraction into separate segment. There are different methods to do the Biomedical image segmentation but they are slow. he method which is described in this paper is fast and efficient. This paper gives comparative research of different method of each of category. The method described in the paper is for fast biomedical image segmentation
    Proceedings of the ICWET '10 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 26 - 27, 2010; 01/2010
  • Seema P. Nehete, Mandar Sohani
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    ABSTRACT: In this paper a novel method for digital audio Steganography with security i.e cryptography is presented where covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain. This is done using embedding algorithm. The coefficients are calculated using Haar transform in transform domain and these coefficients are used to embed secret data. The inverse integer wavelet transform is applied to the modified coefficients to form new audio sequence (stego signal) with the optimum pixel adjustment (OPA) algorithm. The OPA algorithm is applied after embedding secret message to minimize the embedding error. The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems and better audio quality.
    Proceedings of the ICWET '10 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 26 - 27, 2010; 01/2010