A Robust Image Hashing with Enhanced Randomness by Using Random Walk on Zigzag Blocking

Robust image hashing with visual attention model and invariant moments

“…To illustrate the advantage, our hashing is compared with some baseline hashing algorithms. The selected hashing algorithms include invariant moments‐based hashing [19], random walk‐based hashing [26], weighted DWT features‐based hashing [10], CVA‐DWT hashing [22] and hybrid features‐based hashing [32]. The image datasets described in Sections 3.1 and 3.2 are also used to validate robustness and discrimination of the compared algorithms.…”

“…This ring‐based hashing can resist image rotation with any angle. Recently, Huang et al [26] used a random walk on zigzag blocking to improve the security of image hashing. Qin et al [27] exploited block truncation coding to design an image hashing algorithm with good perceptual robustness.…”

Robust Hashing Based on Quaternion Gyrator Transform for Image Authentication

“…To show the advantages of our algorithm, we select some excellent algorithms to compare. The selected algorithms include Random-walking hash algorithm [38], QSVD hash algorithm [19], SVD-CSLBP hash algorithm [17], Laplacian Pyramids hash algorithm [20], A hash algorithm based on deep convolutional neural network(DCNN) [39]. These algorithms above are hash algorithms recently published in journals or conferences.…”

SAR image compression using optronic processing

“…After the SAR image processed by the optical system, we perform a zigzag scan [11] for the cosine transform spectral coefficients, and then do the inverse cosine transformation on the image to obtain a reconstructed image. Zigzag algorithm is always used to compress the image after the DCT.…”