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Noise is an impairment which often occurs in both film and digital video and severely degrades the viewing experience of the content. In this work, we propose a two-phase algorithm for film an video denoising. In the first phase, the concept of semi-local shrinkage functions is used to effectively separate noise from image structure. In the second phase, we show how to fuse the result images of the...
Watermarking in wavelet domain and with SVD is popular due to its robustness. In this paper a watermarking technique using DCT wavelet and hybrid DKT-DCT wavelet along with SVD is proposed. Wavelet transform is applied on host and SVD is applied on watermark. Few singular values of watermark are embedded in mid frequency band of host. Scaling of singular values is adaptively done for each channel...
Condition monitoring based on partial discharge diagnostics has seen a very rapid increase of interest from high voltage industry. Condition monitoring is an asset monitoring tool that can inform the user of real time health of their high voltage equipment / plant, which has now become a necessity in ageing networks that still have equipment in operation that has fulfilled its rated life. Partial...
An auditory-based feature extraction algorithm is proposed for enhancing the robustness of automatic speech recognition. In the proposed approach, the speech signal is characterized using a new feature referred to as the Basilar-membrane Frequency-band Cepstral Coefficient (BFCC). In contrast to the conventional Mel-Frequency Cepstral Coefficient (MFCC) method based on a Fourier spectrogram, the proposed...
A robust tracking algorithm based on the particle filter with multi-cue adaptive fusion is proposed which can overcome the shortcoming of single visual cue in complex environments. The color and the texture based on the discrete wavelet transform (DWT) are used to describe the tracking target. The weights are adaptively adjusted using the democratic integration according to the current tracking situations,...
In this paper a new robust, spread-spectrum image watermarking approach is proposed. A two level wavelet transform is applied to the host image. Then three high frequency sub-bands in level 2 are selected and the watermark is embedded by an spread-spectrum technique. Selected sub-bands are divided into square blocks. Each block carries Nb bits of watermark information. Watermark data is added as uncorrelated...
Image sharpness assessment is a very important issue in image acquisition and processing. Novel approaches in no-reference image sharpness assessment methods are based on local phase coherence (LPC), rather than edge or frequency content analysis. It has been shown that the LPC based methods are closer to human observer assessments. In this paper, we propose carefully designed complex wavelets that...
Segmentation of moving objects in a video sequence is a primary mission of many computer vision tasks. However, shadows extracted along with the objects can result in large errors in object localization and recognition. We propose a novel method of moving shadow detection using wavelets and watershed segmentation algorithm, which can effectively separate the cast shadow of moving objects in a scene...
In this paper, a simple and robust watermarking algorithm using balanced multiwavelet transform is proposed. The latter transform we use achieves simultaneous orthogonality and symmetry without requiring any input prefiltering or border extending. This reduction in computational complexity makes the transform a good candidate for real-time watermarking implementations. Novelty of the system lies in...
In recent times, digital watermarking has become one of the advanced technologies to protect images from illicit manipulations. A non-blind robust Discrete Wavelet Transform domain watermarking approach for images is introduced in this paper. Based on the parent-child relationship between wavelet coefficients, the Set Partitioning in Hierarchical Trees (SPIHT) algorithm is applied on the transformed...
In this article an algorithm for optimized realtime sensing of crashes for control purposes is presented. The algorithm is based on time-scale wavelet theory and edge-detection. It is designed for the control of the sawtooth instability, a relaxation oscillator, in fusion plasmas. However, in principle, it can be applied to any periodic crash, measured with any temporally resolved data. It is argued...
Proposed binary watermarking algorithm based on wavelet transform and Scrambling Technology. The carrier image scrambling transformation and wavelet transform, the watermark embedded image Low-frequency coefficients, when embedded in the energy range of different settings according to different embedding strength, and the binary watermark image itself is based on the characteristics of the superior...
Based on the principle of wavelet transform, the basic assumptions of wavelet denoising is analyzed. In this paper we propose a robust wavelet transform algorithm using a α - trimmed mean filter as a “agent” component based on Donoho's soft thresholding shrinkage method. And on this basis, a detailed analysis on the structure of two-dimensional wavelet transform is made; two-dimensional robust wavelet...
Infrared and visible image fusion technology can effectively improve the image contrast and clarity, and enhance the night vision effective. Non-sub sampled contourlet transform (NSCT) in image fusion field has made some achievements. A regional standard deviation-weighted image fusion method based on non-sub sampled Contourlet transform was proposed, and the robustness of the method was analyzed...
Sparse decomposition of wavelet coefficients of cover image blocks for data hiding is addressed in this paper. By using the proposed algorithm, the embedded secret message can be reliably extracted without resorting to the original image. We use all four sub-images (LL, LH, HL and HH) of the 2D wavelet transform for data embedding without losing the image imperceptibility. An over-complete dictionary...
A novel semi-fragile image watermarking scheme based on wavelet is presented in this paper. The original image is first transformed into wavelet domain. The image features are subsequently generated from the lowest-frequency subband as embedded watermark by the condition judgment based on the mean value. Lastly, the watermark is embedded into the predetermined bit-plane in the given lower-frequency...
Aim at the address of fractal dimension for the measure of texture coarseness is low on calculation accuracy and the lack of robustness on rotating and noise metric. A kind of combining multi-scale and multi-directional metric model of Gabor filter with fractal dimension is proposed. First, Gabor wavelet model based on multi-scale and multi-directional transform is constructed and image filtering...
Scaling processes of parameter α are ubiquitous in science and engineering. Depending upon α, stationary and nonstationary models are obtained. The presence or absence of stationarity dictates the choice of the analysis methods, estimation techniques and stochastic models to be used. Wavelet entropy has recently been proposed as a powerful tool to describe the degree of order/disorder in a time series...
Due to the performances of low computational cost and excellent generalization capability, Least squares support vector regression (LS-SVR) has been successfully applied to function estimation and forecasting problems. However, in comparison to SVR, LS-SVR loses the sparseness and has worse robustness for large training samples. In this paper, a sparse LS-SVR is proposed for the regression of large...
The growth of new image technologies has created a need for techniques that can be used for copyright protection of digital images, video and audio. One approach for copyright protection is to introduce an invisible signal, known as a digital watermark, into an image or video sequence. Wavelet-based watermark exploit the frequency and spatial of the transformed data in multiple resolutions to gain...
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