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A Matlab implementation of my works is available here. You can download it for free and use it anywhere, but refer to its paper.

Please feel free to contact me if you need further information or any suggestion.

Standard Image Dataset

This dataset contains fifteen standard color and gray images with the size of 512×512 in bitmap format including Baboon, Barbara, Lena, Pepper, Girl, Lake, F16, House, Elaine, Goldhill, Boat, Camera, Toys, Zelda, and Crowd. The number of objects and various types of texture such as edge, smooth, and rough lead to challenge watermarking, steganography, denoising, etc. methods. The collected image database is freely available for downloading and utilization for scientific purposes. Download

TRLH: Fragile and blind dual watermarking for image tamper detection and self-recovery based on lifting wavelet transform and halftoning technique.

This paper proposes a fragile and blind dual watermarking method for tamper detection and self-recovery. This method generates two image digests from the host image, based on the lifting wavelet and the halftoning technique. Therefore, for each 2×2 non-overlapping blocks, two chances for recovering tampered blocks is provided. Then, the authentication bit is obtained by using the image digests. Totally, eight bits are embedded in two LSBs for each block of image. To enhance the quality of the digest, a new LSBRounding technique is proposed. Additionally, to determine the mapping blocks and shuffling LSBs, the Arnold Cat Map is utilized. To improve the recovery rate, a Shift-aside operation is proposed. For preventing copy-move, vector-quantization attacks, and any manipulation in LSBs, the information embedded in each block depends on the key which is assigned to it. Experimental results show the efficiency of TRLH compared to the state of the art methods. Code (Matlab)

TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with optimized quality using LWT and GA

In this paper, an efficient fragile blind quad watermarking scheme, named TRLG, is pro- posed for image tamper detection and recovery based on lifting wavelet transform and genetic algorithm. TRLG generates four compact digests with super quality based on lifting wavelet transform and halftoning technique by distinguishing the types of image blocks. In this way, for each 2×2 non-overlapping block, four chances for recovering the destroyed blocks are created. A special parameter estimation technique based on the genetic algo- rithm is performed to improve and optimize the quality of digests and the watermarked image. Furthermore, the Chebyshev System is used to determine the mapping block for embedding, encrypting, and shuffling the information. To improve the recovery rate, two techniques called Mirror-aside and Partner-block are proposed. Some experiments are con- ducted to prove the superiority of TRLG in terms of quality of the watermarked and recov- ered images, tamper localization, and security compared with the state-of-the-art methods. The results indicate that the average values of PSNR and SSIM of the watermarked image are about 46 dB and 1, respectively. Also, the average values of PSNR and SSIM for several recovered images that were destroyed about 90% reached to 24 dB and 0.86, respectively. Code (Matlab)

Last Updated on Thursday, 07 March 2019 19:34