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In this paper, we combine the visual secret sharing (VSS) scheme and the fractional Fourier transform (FrFT) to propose a new data hiding method. The cover and hidden images are used together to generate the two sharing data based on the VSS scheme. Then the FrFTs are applied to the sharing data to further encrypt them. To reconstruct the hidden image, both the two sharing data and the correct fractional...
In this paper, a hybrid display which can provide 2D and 3D images was practice based on waveguide hologram. The hologram element recorded different 3D images and display different image without crosstalk.
Recent years have witnessed a drastic rise in the number of image content on the Internet. In this context, several digital watermarking techniques have been investigated in order to prevent illegal duplication and distribution of such content. Illegal users in turn attempt to remove digital watermarks from such content, and collusion-attacking methods, such as an average value attack, constitute...
We proposed a novel chroma upsampling scheme for YCbCr 420 videos. In a state-of-the-art work, the upsampling is performed by simply duplicating the stored U and V values in YCbCr 420 for 4 copies and saving to the corresponding locations in YCbCr 444. In the proposed method, instead of directly copying the current values, we consider their neighboring chroma values as the weights to redistribute...
This research focuses on developing a Super-resolution magnetic resonance (MR) Image restoration method using Convolutional Neural Networks (CNN). The main aim is to train an end to end mapping that takes low-resolution image as input and returns a high-resolution output. Low overhead and a state of the art reconstruction makes the model perform efficiently.
Image rendering is an important technique in light filed image processing. It is to reconstruct the entire scene by combining micro images. However, due to the imperfect optical design of the light field camera, micro images suffer from the attenuation effect, which causes server blocking artifacts in the final rendered image. In this work, a high quality and efficient image rendering algorithm based...
In this paper we propose a scalable face image compression algorithm based on Principal Component Analysis (PCA) and Entropy Coding. By using PCA and some training face image patterns, we can extract the most representative eigen-image of human faces. To reduce the coding complexity as well as to achieve a higher compression ratio, only the first term of the extracted eigen-images will be used for...
In this paper, we propose a new secret sharing method for Chinese characters based on non-negative matrix factorization (NMF). Chinese characters can be regarded as binary images, but traditional NMF is only suitable for gray-level images. Therefore, this paper proposes a modified version of NMF for dealing with Chinese characters in binary images. The modified NMF decomposes a Chinese character into...
This paper presents a “3D Building Scene Reconstruction Based on LiDAR Point Cloud.” The 3D Light Detection and Ranging (LiDAR) can take the stereo information under the environment. The short distance research is growing recently for 3D LiDAR. We use the point cloud data of interior building to perform 3D model.
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