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In this paper, we proposed a novel optical encryption and decryption method of gray image based on the Fourier computer-generated hologram (CGH) and logical modulation. Since the encryption method using the CGH or the logical modulation alone has a shortness of low security, the proposed novel encryption combines the two methods together. In our encryption processing, the hologram, which is gotten...
In this paper, a novel encryption and decryption method for color images based on the Hadamard transform (HT) and logical modulation has been proposed. Firstly, considering security and efficiency, together, our cryptosystem combined with image compression can reduce encryption time and promote real-time secure image transmission and storage. Then the compressed image is encrypted by logical modulation...
In recent years, chaos-based image encryption technology has been extensively studied to meet the increasing demand for online secure image transmission over open networks. However, many of them suffer from known/chosen plaintext attacks as the diffusion key stream used in those schemes is solely determined by the key. To address this problem, a plaintext-related diffusion strategy is presented in...
Sequence data plays an important role in data analysis applications, such as sequence classification. One important aspect of sequence data analysis is to obtain the labeled sequence data and use a machine learning model to predict the sequence structures. Conditional Random Fields (CRF) is such a machine learning method which is popular used in sequential data analysis. This is because that CRF can...
Recommender systems suggest a few items from many possible choices to the users by understanding their past behaviors. In these systems, the user behaviors are influenced by the hidden interests of the users. Learning to leverage the information about user interests is often critical for making better recommendations. However, existing collaborative-filtering-based recommender systems are usually...
Texture is one of the important characteristics used in identifying objects or regions of interest in an image. This paper describes some textural features based on integrated spatial gray level co-occurrence matrix, and illustrates the effectiveness of four textural features in categorizing ultrasound breast tumor images by means of Fuzzy C-means and K-medoid clustering algorithms respectively. The...
In this paper, a statistical analysis of the peak-to-average power ratio (PAPR) of Polynomial cancellation coded OFDM (PCC-OFDM) signals is presented. PCC-OFDM has the good performance of compressing intercarrier interference (ICI) at the cost of high PAPR. The most PAPR analysis assume the subcarriers to be identically and independently distributed (i.i.d). However, the correlation between adjacent...
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