Abstract
Data hiding method with Principal Component Analysis (PCA) and image coordinate conversion as a preprocessing of wavelet Multi Resolution Analysis (MRA) is proposed. The method introduced in this paper, based on the characteristics of the original multispectral image, allows recovering the secret data. Through experiments, it is found that the proposed method is superior to the conventional data hiding method without any preprocessing. The method introduced in this paper allows only I who knows the characteristics of the original multispectral image to recover the secret data, i.e., when the information of the original image needs to be protected. Moreover, in the introduced method, the information of the secret data is protected by the existence of the eigenvector and the oblique coordinate transformation, that is, the secret data is restored if at least the information of the true original image is not known. The principal component transformation coefficient differs for each original image and is composed of the eigenvectors of the original image.
Highlights
There are social problems such as illegal copying of digital contents such as DVDs and billing for music broadcasting / broadcasting
Digital contents of corporate electronic records, customer information, intellectual property, electronic medical records, etc. based on ISO 15489 For copyright protection of digital contents that must be protected as personal information, and by inserting a time tag in multimedia such as video, still image, music, etc. and using it to edit In order to efficiently perform charging, or to extract billing information classified by broadcast format, and only those who have obtained permission using a digital signature can share the content
The method introduced in this paper allows only I who knows the characteristics of the original multispectral image to recover the secret data, i.e., when the information of the original image needs to be protected
Summary
There are social problems such as illegal copying of digital contents such as DVDs and billing for music broadcasting / broadcasting. Data hiding based on wavelet multi-resolution analysis is a method of investigating wavelet frequency components and embedding secret data in components that have a relatively small effect on image quality, but it is widely used. Since confidential data can be located by using this method, a problem remains in confidentiality To overcome this problem, a method of applying principal component conversion to the original content (image) as a preprocessing of data hiding has been proposed [15],[16],[17]. Since only I who owns the original content (image) can know the unique value of the original content (image), only I can restore it This method is not sufficiently confidential because it can estimate the approximate value of the eigenvalue by allowing a certain amount of error using the distribution contents (images) in which secret data is embedded. This paper outlines data hiding methods based on the wavelet multi-resolution analysis and evaluates the effect using images that are frequently used as standard images for data compression
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