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A novel scheme for efficient shape classification using region descriptors and extreme learning machine with kernels is proposed. The skeleton and boundary of the input shape image are first extracted. Then the boundary is simplified to remove noise and minor variations. Finally, region descriptors for the local skeleton, and the simplified shape signature are constructed to form a hybrid feature...
This paper proposes a novel multi-scale image hashing method by using the location-context information of the features generated by adaptive local feature extraction techniques. The adaptive local feature extraction method is proposed for more robust feature descriptors. The global hash is calculated to determine whether the received image has been maliciously tampered. The multi-scale hash is calculated...
A robust and geometric invariant digital watermarking scheme for gray-level images is proposed in this paper. The scheme carries out watermark embedding and extraction based on histogram in DWT domain. For watermark embedding, the original image is decomposed into the approximation and details sub-bands. Pixels of the approximation sub-band are grouped into m blocks, each of which has the same number...
In this paper, a digital image watermarking scheme with blind detection for copyright verification is proposed. The binary watermarks are embedded in the wavelet domain of an image using the discrete wavelet packet transform (DWPT) and quantization of the selected dominant coefficients. The blind watermarking detection is employed for copyright verification. Experimental results show that the proposed...
A novel design of a DFT-based digital watermarking system for images is proposed in this paper. The system provides images copyright protection which can be done by adding invisible watermark into the digital image. First, the original image is decomposed into DFT coefficients using a fast Fourier transform. For minimal loss in image fidelity, the watermark is embedded in those DFT coefficients with...
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