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An Approach to Protect the Secret Image Data and Verification of Dealer Using Image Fusion


Author(s):

Pranoti A. Kale , Prof. Ram Meghe COE & Management, Amravati

Keywords:

Fusion, Wavelet Family, Wavelet Transform, Wavelet base fusion, fused image, Curvelet Transform, Fast Fourier Transform, Inverse Fast Fourier Transforms and Ridgelet Transform

Abstract:

Image fusion is a technique that integrates complimentary details from multiple input images such that the fused image is more suitable for processing task. The fused image has more complete information which is useful for human and machine perception. The wavelet transform is to obtain the original secret image without any distortion. Introduce a new method based on curvelet transform which represents edges better than wavelets. Since, edges play a fundamental role in image understanding, one good way to enhance spatial resolution is to enhance the edges. Curvelet based image fusion method provides richer information in the spatial and spectral domains simultaneously. In this paper we are proposing an algorithm for protecting the secret image whose confidentiality needs to be maintained, and also to authenticate the distributor who distributes that secret image to multiple users. The paper starts with the study of initial concepts for image fusion with their importance, use of image fusion. This paper presents a review on different wavelet families, implementation of image fusion using wavelet transform, curvelet transform.


Other Details:

Manuscript Id :IJSTEV2I6031
Published in :Volume : 2, Issue : 6
Publication Date: 01/01/2016
Page(s): 42-46
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