A key-dependent secure image hashing scheme by using Radon transform

Abstract

The perceptual image hashing is an emerging technique which can be used in image authentication and contentbased image retrieval. Recently, several image hashing schemes based on Radon transform are proposed for image authentication and retrieval. These schemes have no random information to strengthen the security with image hashing. In this paper, we propose a simple key-based secure image hashing scheme by using radon transform and 1-D Discrete Cosine Transform (DCT). Particularly, we introduce a randomization on Radon transform and make the image hash more secure and more robust. Moreover, the discriminative capability is also confirmed in our experimental results.

Robust image hashing with embedding vector variance of LLE

“…To illustrate our superiority in classification performances, we compare our hashing with some notable image hashing algorithms including LLE-based hashing [18], RT-DCT hashing [16], GF-LVQ hashing [20] and CVA-DWT hashing [22]. To ensure fair comparisons, the test images used in Sections 3.1 and 3.2 are also taken here.…”

“…This scheme is resistant to JPEG compression and watermark embedding, but sensitive to image rotation. In another work, Ou et al [16] used RT combining with discrete cosine transform (DCT) to generate image hashes. The RT-DCT hashing is resilient to image rotation, but its discrimination is not good enough.…”

Robust Image Hashing Using Radon Transform and Invariant Features

“…Wu, Zhou and Niu suggest a robust hashing method based on the radon and wavelet transform which can resist the printscan attacks, but the method doesn't own good key-dependent security [8]. Other improved radon-based hashing methods using image normalization and the key-dependent secure hashing methods based on radon transform also have been proposed [9], [10]. These methods are robust to small angle rotation, but their discriminations are not desirable.…”

Robust image hash in Radon transform domain for authentication

“…In order to make up for the disadvantage of the traditional cryptographic hash functions in image authentication, robust image hashing was first introduced by Schneider et al [2]. Subsequently, it is has been widely applied in image authentication [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”