Work place: MGR University,Godavari Institute of Engineering & Technology, Rajahmundry, A.P, India
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Image Processing
G RoslineNesaKumari received her M.E. Degree from Sathyabama University Chennai in 2005.She is Pursuing her Ph.D degree in Computer Science and Engineering at Dr MGR University Chennai. She is having Eleven years of teaching experience. At present she is working as an Associate Professor in Godavari Institute of Engineering and Technology, Rajahmundry. She published Twenty six research publications in various International, National Conferences and Journal. She is a life member of Indian Science Congress Association (ISCA), IAENG, Red Cross. Her research interest includes Image processing, Digital Watermarking and Security.
DOI: https://doi.org/10.5815/ijmecs.2013.10.05, Pub. Date: 8 Oct. 2013
The diminishing expenditure of consumer electronic devices such as digital cameras and digital camcorders along with ease of transportation facilitated by the internet, has lead to a phenomenal rise in the quantity of multimedia data. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. While the requirements of image users, it can be characterize image queries into three levels. The proposed method based on primitive features such as color and shapes. These features are extracted and used as the basis for a similarity check between images. The shape and color features are extracted through Gradient Edge Detection and color histogram the combination of these features is robust. The experiment results show that the proposed image retrieval is more efficient and effective in retrieving the user interested images.[...] Read more.
DOI: https://doi.org/10.5815/ijcnis.2013.03.06, Pub. Date: 8 Mar. 2013
The present paper provides a new mechanism with two stages for efficient authentication based on Honey Comb Polynomial Interpolation (HCPI) and Morphological Border Sorted Pixel Value Difference (MBSPVD) scheme. A simple polynomial interpolation technique on new hexagonal structure called Honey Comb structure (HCS) is used for generating the key of the digital watermark. The polynomial interpolation gives a high secured key, which is difficult to break. HCS is used in the present paper to select pixel positions for generating the Digital Watermark key (DWK). The significant factor of the present method is, the digital watermark is generated by using DWK. The importance of HCS representation is that it possesses special computational features that are pertinent to the vision process. The HCS has features of higher degree of circular symmetry, uniform connectivity, greater angular resolution, and which leads to reduce storage and computation in image processing operations. The DWK is placed in the image by using MBSPVD method. Its guarantees high authentication, robustness, security and copyright protection. The Lagrange Polynomial interpolation (LPI) is used for retrieving the digital watermark from the DWK. The LPI accomplish the aim of image authentication and protection without reducing the image quality. The proposed HCPI-MBSPVD is tested with various attacks and compared with various existing image authentication and copyright protection methods. The comparisons and results indicate the efficacy of the proposed method.[...] Read more.
DOI: https://doi.org/10.5815/ijigsp.2013.02.04, Pub. Date: 8 Feb. 2013
In modern days, digital watermarking has become an admired technique for hitting data in digital images to help guard against copyright infringement. The proposed Permutation-based Homogeneous Block Content authentication (PHBC) methods develop a secure and excellence strong watermarking algorithm that combines the reward of permutation-based Homogeneous block (PHB) with that of significant and insignificant bit values with X0R encryption function using Max coefficient of least coordinate value for embedding the watermark. In the projected system uses the relationship between the permutation blocks to embed many data into Homogeneous blocks without causing solemn distortion to the watermarked image. The experimental results show that the projected system is very efficient in achieving perceptual invisibility with an increase in the Peak Signal to Noise Ratio (PSNR). Moreover, the projected system is robust to a variety of signal processing operations, such as image Cropping, Rotation, Resizing, Adding noise, Filtering , Blurring and Motion blurring.[...] Read more.
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