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In order to recover high resolution image from their corresponding low-resolution counterparts for MR Images, this paper has proposed a super resolution reconstruction method to recover the low-resolution MR images based on convolution neural network. Based on the proposed network, the convolution operation and non-linear mapping are employed to adapt MR images naturally and leaning the end-to-end...
This paper presents a robust better gray image watermarking algorithm based on the distance in the wavelet transform domain. Firstly, two images will be pretreated: the vector image is transformed into discrete wavelet domain, the level of transform is decided by the size of the watermark image, another pretreatment is that watermark image is scrambled by Arnold transform; Secondly, the edge information...
In this paper, a novel blind digital watermarking algorithm using wavelet-packet decomposition is proposed. Firstly, the original image is transformed into frequency domain with wavelet-packet decomposition by using a key that decides which direction will be further transformed, so that the sub bands where watermark is embedded are determined. Secondly, the binary watermark image with copyright information...
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