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A new watermarking method based on Singular Value Decomposition is proposed in this paper. The method uses new embedding rules to store a watermark in orthogonal matrix U that is preprocessed in advance in order to fit a proposed model of orthogonal matrix. Some experiments involving common distortions for grayscale images were done in order to confirm efficiency of the proposed method. The robustness...
Image scrambling is an important approach to cover image information. This paper presents a novel image scrambling algorithm based on two-dimensional discrete Henon map. In our algorithm, the parameters of Henon map are regarded as the key of scrambling, and image pixels are scrambled by iteration of the Henon map. The numerical experimental results show that the proposed algorithm has quite prominent...
We present a robust particle filter based visual tracker based on an earlier approach called mean-transform which can track a window with orientation and scale changes. This work is the first work combining sparse coding, mean transform and particle filtering in visual tracking. We show that particle filter is effective in enhancing the mean-transform tracker. From the result, we see that such architecture...
In long-term multi-temporal images, the objects are very different and the feature matching is very difficult. However, in short-term multi-temporal images, the differences of objects are relatively insignificant. With the small difference, the correct matching points and the right affine transformation can be easily obtained. According to long-term multi-temporal image matching, in the range of time...
We consider the problem of indexing and searching image duplicates in streaming visual data. This task requires a fast image descriptor, a small memory footprint for each signature and a quick search algorithm. To this end, we propose a new descriptor satisfying the aforementioned requirements. We evaluate our method on two different datasets with the use of different sets of distractor images, leading...
This paper describes an image tamper detection and recovery method based on self-embedding dual watermarking. The watermark in the proposed method is a down-sampled version of an original image (cover image). Two identical watermarks are then decomposed into bit planes and embedded into the least-significant bit (LSB) plane of the cover image. This dual watermarking strategy ensures a robust performance...
In the era of technology expansion, the digital devices are made to achieve high resolution signal acquisition, producing a large amount of digital data. This is a common issue in sensing systems dealing with radar signals, multimedia signals, medical and biomedical data, etc. The acquisition process is done according to the Shanon-Nyquist theorem with the sampling rate which is usually at least twice...
Modern autofocus systems are known for their fast response speed and optimized routines of the image processing. Nevertheless, the bottleneck of the autofocus system development is the transformation of the technical specification into the design rules that strictly take in account the specifications and introduce a guarantee of the best performance. In this paper we propose a new approach in autofocus...
The bearing is used to provide free linear movement to the moving part or for free rotation around a fixed axis. When the machine is in use, the multi component vibration signals are generated. These vibration signals can be captured by accelerometers. Vibration signal analysis is a very effective tool in finding bearing fault. The methods based on empirical mode decomposition (EMD) have been used...
Digital watermarking has been widely used in the copyright protected images in multimedia. This paper addresses the blind watermark detection problem in contourlet domain. It is known that the contourlet coefficients of images have non-Gaussian property and can be well modelled by non-Gaussian distributions such as the normal inverse Gaussian (NIG). In view of this, we exploit this model to derive...
In this paper block based digital color image watermarking scheme is proposed using singular value decomposition (SVD). Dividing an image into block gives more space to embed multiple watermarks which in turn gives a more secure watermarking technique. In the proposed approach, the host color image is divided into R, G, B channels. Each channel is further divided into four blocks, and then four watermark...
Robust control maintains stability and performance for a fixed amount of model uncertainty but can be conservative since the model is not updated online. Learning-based control, on the other hand, uses data to improve the model over time but is not typically guaranteed to be robust throughout the process. This paper proposes a novel combination of both ideas: a robust Min-Max Learning-Based Nonlinear...
Data security is always an important aspect of any data transmission system. With the advancement of internet, various security threats and challenges are also becoming more powerful. However, among the various security challenges in any transmission system, confidentiality, portability, and data losses are most important concern. Therefore, to solve these issues, we have proposed a lossless fixed...
In this paper, we consider the construction of time-varying, support-adapted, oversampled filter banks. In particular, we consider a general class of filter banks, which includes tight frames and orthogonal filter banks as special cases. We show that it is possible to construct a set of boundary filters, which allows the application of the filter bank to one-sided or finite-length signals, without...
One of the latest innovations in the world of multimedia technologies is the application of Distributed Source Coding (DSC) theory to the robust transmission of video sequences. However, these DSC-based video encoders are usually characterized by a lower compression gain with respect to their hybrid counterparts. In this work, we investigate achieving H.264-like high compression efficiency with a...
Recently, a compact characterization of scalar positive polynomials on the real line and on the unit circle was derived by Nesterov [3]. In this paper we show how to extend this result to pseudo-polynomial matrices, and also present a new proof based on the positive real lemma. The characterization is very similar to the scalar case and also allows the use of fast algorithms for computing the central...
A lossless symmetric key encryption scheme is presented, which makes use of the Discrete Haar Wavelet Transform and the Arnold Cat Map. In the frequency domain, scaling, negation and coefficient swapping are done to increase robustness of the cipher image. In order to ensure better security and reliability, Arnold Cat Map is used for pixel scrambling. Performance analysis is performed on the encrypted...
This paper presents fast algorithms for line and circle detection based on inverted gradient hash maps (IGHM). Inverted indices are a common technique for storing a map from content of a dataset to its locations in the dataset. Hash maps are typically used to implement associative arrays and reduce search times in large datasets. In this paper, a hash map is used to store an inverted index of image...
Definition and extraction of local features play a very important role in image retrieval (IR), pattern recognition and computer vision. Fast growth of technology today calls for local features to be as compact as possible toward real-time and limited bandwidth applications. In this paper, we study the problem of representing images in a compact way to achieve low bit-rate transmission while maintaining...
In this paper, we consider the problem of estimating a deterministic vector parameter when the likelihood function is unknown or not expressible. We develop an estimator, called measure-transformed quasi maximum likelihood estimator (MT-QMLE), that minimizes the empirical Kullback-Leibler divergence between the transformed probability measure of the data and a hypothesized Gaussian probability distribution...
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