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A novel zero-watermarking algorithm based on robust statistical features for natural images
In this paper, we develop a robust image zero-watermarking algorithm based on multiple circular statistical features. First of all, we detect stable...
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Applying dual-tree complex discrete wavelet transform and gamma modulating function for simulation of ground motions
The aim of this paper is to develop a stochastic-parametric model for the generation of synthetic ground motions (GMs) which are in accordance with a...
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Fundamentals of Gabor Wavelet Filter Banks
Gabor wavelets are a family of complex-valued functions that are frequently used in image analysis and signal processing because of their high... -
Robust blind image watermarking scheme using a modified embedding process based on differential method in DTCWT-DCT
This research paper presents a modified blind and robust image watermarking scheme that combines dual-tree complex wavelet transform (DTCWT) and...
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Tele-Holography: a new concept for lossless compression and transmission of inline digital holograms
In this paper, we introduce Tele-Holography , a new compression/transmission process dedicated to digital holograms. Tele-Holography enables a...
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A new data hiding model based on adaptive keyed Huffman multi-layer midpoint folding and optimized deep wavelet histogram modification strategy
With recent advanced science and technology, it is much easier to transmit, search and find information on the Internet platform. However, sharing...
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A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
Nowadays, the hectic work life of people has led to sleep deprivation. This may further result in sleep-related disorders and adverse physiological...
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Reversible key frame selection data hiding in videos using search tree labelling scheme
Hiding a data inside video plays a vital role in data communication. The aim of data hiding is to protect the data with minimum distortion rate. In...
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Hybrid optimal algorithm-based 2D discrete wavelet transform for image compression using fractional KCA
Due to the low compression performance of traditional compression models, we have developed a new HOA based Fractional KCA with 2D-DWT for improving...
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New hybrid GR6J-wavelet-based genetic algorithm-artificial neural network (GR6J-WGANN) conceptual-data-driven model approaches for daily rainfall–runoff modelling
Rainfall–runoff modeling is significant for efficient water resources management and planning. The hydrological conceptual models can have...
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Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression
In this paper, a new method for automatic filter coefficient calculation in lifting scheme wavelet transform for image lossless compression is...
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Locally optimum watermark decoder based on fast quaternion generic polar complex exponential transform
Digital image watermarking, as an important image content security protection technology, has higher research value. It is well-known that...
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A novel zero-watermarking algorithm based on multi-feature and DNA encryption for medical images
Different from the traditional watermarking schemes, zero-watermarking schemes are lossless embedding methods, which are applicable to be used in...
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eGHWT: The Extended Generalized Haar–Walsh Transform
Extending computational harmonic analysis tools from the classical setting of regular lattices to the more general setting of graphs and networks is...
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A new structure of spline wavelet transform based on adaptive directional lifting for efficient image coding
We present in this paper a modified structure of a polynomial spline wavelet transform based on adaptive directional lifting for image compression....
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3D-listless block cube set-partitioning coding for resource constraint hyperspectral image sensors
The hyperspectral image provides rich spectral information content, which facilitates multiple applications. With the rapid advancement of the...
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Robust Zero-Watermarking for Medical Images Based on Deep Learning Feature Extraction
Internet data transfer has increased in recent years, as well as the need to generate protection and authentication of multimedia data. The use of... -
Multimodal medical volumetric image fusion using 3-D Shearlet transform and T-S fuzzy reasoning
Multimodal medical volumetric image fusion is a hot topic in medical image processing. Currently, most multi-scale based medical image fusion methods...
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A low complexity hyperspectral image compression through 3D set partitioned embedded zero block coding
Memory management of the hyperspectral image sensor is a challenging issue. The existing hyperspectral image compression schemes play a dominant role...
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A high capacity multi-image steganography technique based on golden ratio and non-subsampled contourlet transform
Hiding sensitive information in a host image (or 2D signal) is a challenging task. Several image steganography techniques have been proposed in...