Encrypted medical image robust multi-watermark realizing method in cloud environment

Abstract

The invention discloses an encrypted medical image robust multi-watermark realizing method in cloud environment, and belongs to the field of multimedia signal processing. The method comprises the following major steps that: firstly, an original medical image is encrypted in a transformation domain; binary text watermark pictures are encrypted; then, the encrypted original image is subjected to DCT (Discrete Cosine Transformation) to obtain feature vectors; the feature vectors of the encrypted image and watermarks subjected to chaotic encryption are used for carrying out exclusive-or operation; zero watermarks are embedded to obtain a binary logic sequence; next, watermark extraction and watermark reduction are carried out, and the watermarks are extracted by the binary logic sequence generated during the watermark embedding; the extracted watermarks and the binary logic sequence are subjected to exclusive-or operation, and reduced watermarks are obtained; and finally, encrypted image reduction is carried out. Compared with a conventional method of directly embedding scrambled watermarks into an original image, the method provided by the invention has the advantages that the effect of embedding the watermarks into the encrypted image is achieved, and the security of the original image stored in a cloud end can be guaranteed.

Description

technical field [0001] The invention belongs to the field of multimedia signal processing, and relates to a medical image digital watermarking technology based on DCT transformation, chaotic mapping (Logistic Map) and image visual feature vectors, in particular to a method for implementing robust multi-watermarking of encrypted medical images in a cloud environment. Background technique [0002] The wide application of modern medical imaging technologies such as X-ray film, CT, MRI, ultrasound and PET enables researchers to maintain the confidentiality of medical images (only authorized personnel can access patient data), integrity (indicating that medical images have not been tampered with). ) and authenticity (certification of data origin) were thoroughly researched. The development of Internet cloud technology, while bringing convenience to medical technology, also poses challenges to data security. In a cloud environment, in order to use cloud services without revealing...

AI Technical Summary

Problems solved by technology

The traditional method is to directly embed the scrambled watermark into the original image, which can protect the watermark information, but still cannot eliminate the security risk of the carrier i...

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