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Vector quantization (VQ) is a general data compression technique that has a scalable implementation complexity and potentially a high compression ratio. In this paper, a novel implementation of VQ using stochastic circuits is proposed and its performance is evaluated against conventional binary designs. The stochastic and binary designs are compared for the same compression quality, and the circuits...
Vector quantization (VQ) is a general data compression technique that has a scalable implementation complexity and potentially a high compression ratio. In this paper, a novel implementation of VQ using stochastic circuits is proposed and its performance is evaluated. The stochastic and binary designs are compared for the same compression quality and the circuits are synthesized for an industrial...
Blind digital image forensics, aims at identifying the authenticity and origin of the digital images without any embedding information beforehand, has become one of the research hot spots recently. Resampling, as a kind of tampering manipulation, will change the statistical features of the images. In this paper, the specific statistical changes brought into the linear dependencies among image pixels...
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