Open AccessFast Legendre Moments in Securing Digital Image
Author(s) -
K Alicesuresh,
S. Thirunavukkarasu,
P. Kavitha,
K. Suresh
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1278.10812s19
Subject(s) - zernike polynomials , legendre polynomials , velocity moments , moment (physics) , mathematics , legendre wavelet , method of moments (probability theory) , function (biology) , image moment , image (mathematics) , associated legendre polynomials , mathematical analysis , algorithm , computer science , image processing , computer vision , physics , optics , statistics , gegenbauer polynomials , wavelet , orthogonal polynomials , classical orthogonal polynomials , estimator , wavelet transform , biology , classical mechanics , evolutionary biology , discrete wavelet transform , wavefront
Moments are set of values used to describe the information contained in the image. In this paper the content of the image is represented with the help of fast legendre moments. Legendre moments has the advantage that these moments are calculated exactly without any loss in information while other moments like geometric moments, zernike moments etc suffer from approximation errors and geometric error when applied to digital images. Legendre moments are also more suitable for image reconstruction. Experimental results show that the proposed system is very efficient in computing moments at much faster time than the Zernike moments since fast legendre moments calculates the moments as two ID function rather as a 2D function of a digital image and the results of reconstruction in case of tampering is also shown