Remote-sensing image perceptual hash authentication method based on Gabor filter bank and DWT converting

Abstract

The invention discloses a remote-sensing image perceptual hash authentication method based on a Gabor filter bank and DWT converting. Through the feature that a Gabor filter can enhance an image in different directions under different frequencies and the great effect of edge features in remote-sensing image using, a remote-sensing image is subjected to grid dividing first, then based on a self-adaptation strategy, the parameters of the Gabor filter bank are determined in a self-adaptation mode according to the information entropy of a grid unit, then the edge features of the grid unit are extracted and compressed by DWT converting and a PCA method, and finally the perceptual hash of the image is generated; an by comparing the normalization Hamming distance between image perceptual hash sequences, an authentication process of the remote-sensing image is achieved. Authentication based on content of the remote-sensing image is achieved, remote-sensing image local tampering can be effectively detected, robustness is achieved on image operation with content unchanged is achieved, and powerful safety guarantee is provided for effective using of the remote-sensing image.

Description

technical field [0001] The invention belongs to the field of geographic information security, and in particular relates to a remote sensing image perception hash authentication method based on Gabor filter bank and DWT transform (discrete wavelet transform). The edge features of different regions are compressed by the PCA (Principal Component Analysis) method to generate a perceptual hash sequence of the image. At the authentication end, the content-based integrity authentication of remote sensing images is realized by matching between perceptual hash sequences. Background technique [0002] Remote sensing images, as an important carrier for obtaining information on the surface environment, resources and other geoscience topics, are vulnerable to various intentional or unintentional "tampering" in the process of transmission and use. The traditional authentication technology is mainly based on the cryptographic Hash function to realize data authentication. Hash function is...

AI Technical Summary

Problems solved by technology

The Hash function is too sensitive to data changes, and has great limitations when applied to the authentication of remote sensing images.

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