Abstract
Image hashing is one of the most effective methods in many image processing applications including image recognition or authentication, tampering detection, image retrieval, etc. In this paper, we propose a novel image hash method based on quaternion gyrator transform, which is more secure and compact in addition to its robustness and discriminative properties. In this proposed method, the quaternion gyrator transform (QGT), like the traditional quaternion Fourier transform which is a linear regular integral ratio transform is applied to effectively extract image features. Firstly, our hash function needs to scale all pictures to a fixed size. And the quaternion gyrator transform is used to transform each non-overlapping block in the original image for extracting the feature map of the source image. For each block, the inner product of the feature and a random weight is used to be one bit of the final image hash. Experiments with different image databases are conducted to test and verify the efficiency of our method. The result has proved that our method of constructing hash is robust to most of the content-preserving operations with a good distinction. Compared with some state-of-the-art hash algorithms, our algorithm is more excellent and has better performance in robustness and distinguishability.
Highlights
The continuous development and widespread popularity of mobile devices have brought convenience to people’s lives
Ouyang et al [24] exploit that quaternion zernike moments (QZMs) offer a sound way to jointly deal with the three channels of color images without discarding chrominance information
The contributions of our study are as follow: (1) We propose a robust image hash algorithm based on the quaternion gyrator transform (QGT) to convert images to binary codes for image authentication
Summary
The continuous development and widespread popularity of mobile devices have brought convenience to people’s lives. Image hashing based on the color vector angle [22] divides the image into blocks to extract vector information and uses discrete wavelet transform to compress the feature matrix to form the image hash, which can resist normal digital operations. Ouyang et al [24] exploit that quaternion zernike moments (QZMs) offer a sound way to jointly deal with the three channels of color images without discarding chrominance information This hash function based on QZMs provides a short hash and is robust to most common image content-preserving. The contributions of our study are as follow: (1) We propose a robust image hash algorithm based on the QGT to convert images to binary codes for image authentication This is the first method to capture the representation of image content by QGT. Many experiments are conducted to verify the efficiency of our function, the result shows that our proposed algorithm building a novel and compact image hash has greatly improved on robustness to content-preserving operations and discrimination compared with other existing hash algorithms
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