GF-2 image integrity authentication method using SIFT and SVD perceptual hash

Abstract

The invention discloses a GF-2 image integrity authentication method using SIFT and SVD perceptual hash. The method comprises the steps of image perceptual hash sequence generation and image content integrity authentication, and the image hash sequence generation comprises the steps of constructing perceptual hash sequences of sub-blocks by using an SIFT operator and an SVD method after an image is subjected to block processing, and further connecting the perceptual hash sequences of all the sub-blocks in series to generate a perceptual hash sequence of a whole image. During image integrity authentication process, the detection of the image integrity is realized by measuring the degree of differentiation between the Euclidean distance between the perceptual hash sequences of the original image and the image to be authenticated and the initial threshold. And if the Euclidean distance between the two sub-blocks is smaller than an initial threshold value, a judgment is made that the imagecontent is complete, and if not, an image is detected to be tampered, thereby completing positioning of a local tampered region through difference measurement of perceptual hash between the sub-blocks. The invention has good robustness and is a GF-2 image content integrity authentication method with high practicability.

Description

technical field [0001] The invention belongs to the technical field of cartography and geographic information systems, and relates to a GF-2 image integrity authentication method using SIFT and SVD perceptual hashing. Background technique [0002] The Gaofen-2 (GF-2) satellite launched by China in 2014 is a domestic high-resolution image with a spatial resolution higher than 1m. Its appearance marks the first time that domestic remote sensing images have broken through the sub-meter level and reached the world's advanced level. At present, GF-2 images are widely used in national defense military construction, modernization construction, scientific research and other fields. However, GF-2 images often face various types of attacks and malicious tampering in the process of transmission, use, and storage, the most common being the modification or deletion of ground objects. Ensuring the integrity of the image content is very important in practical applications. Before using th...

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Problems solved by technology

However, currently existing data authentication technologies based on perceptual hash functions are mostly used for multimedia data or ordinary low-resolution remote sensing images and multi-spectral remote sensing images. Such methods cannot be directly used for GF-2 affecting content integrity. certified

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