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Case study of video compression via tensor train and Tucker decompositions
This work represents a study of the capabilities of an approach for lossy video compression based on the tensor train and Tucker tensor formats. The...
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New Approaches and Methods of Adaptive Image Encoding
The author analyses new methods, approaches, and ideas for further development of image encoding to increase informativeness and reduce computational...
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Manifold Regularization Nonnegative Triple Decomposition of Tensor Sets for Image Compression and Representation
The image processing usually depends on exploring the structure and the geometric information of the tensor objects generated by image data. In the...
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A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms
Quantum image processing is a significant branch of Quantum computing and is widely used in various industrial and research-based applications....
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Modular ADMM-Based Strategies for Optimized Compression, Restoration, and Distributed Representations of Visual Data
Iterative techniques are a well-established tool in modern imaging sciences, allowing to address complex optimization problems via sequences of... -
Image Resampling Forensics: A Review on Techniques for Image Authentication
The raw image can be corrupted in part or as a whole; thus it is essential to identify the type of image manipulation technique employed and region... -
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Edge-enhancing diffusion (EED) can reconstruct a close approximation of an original image from a small subset of its pixels. This makes it an... -
Integer Modified Sine-Cosine Transforms Type VII. A construction Method and Separable Directional Adaptive Transforms for Intra Prediction with 8 × 8 Chroma Blocks in Image/Video Coding
A matrix method for constructing a modified order-8 integer sine-cosine transform type VII is proposed. Based on the method, two order-8 integer...
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Discrete Cosine-Sine Type VII Transform and Fast Integer Transforms for Intra Prediction of Images and Video Coding
The author proposes a matrix method for constructing an order N discrete cosine-sine type VII transform. Based on the method, two order 8 integer...
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Algorithms for Fast Implementation of 4-Point Integer Sine Type Vii Transformswithout Multiplication and Separable Directional Adaptive Transforms for Intra Prediction in Image/Video Coding
The separable directional adaptive integer cosine and sine type VII transforms with 4×4 blocks are proposed for intra prediction in image and video...
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Survey: Neural Network Authentication and Tampering Detection
Neural networks have become quite the buzzword in a decade, resulting in extensive research and extensive integration of neural networks in... -
Fully hyperbolic convolutional neural networks
Convolutional neural networks (CNN) have recently seen tremendous success in various computer vision tasks. However, their application to problems...
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Modified Integer Sine Transforms. Construction Method and Separable Directional Adaptive Transforms for Intra Prediction in Image/Video Coding
The author proposes a matrix method for constructing a modified order 8 integer sine type VII transform. Based on the method, two modified order 8...
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Overview of Data Compression Methods
But now it is time for a first overview of the different methods of data compression. In run-length encoding, identical bit patterns within a digital... -
Bidirectional Texture Function Modeling
An authentic material’s surface reflectance function is a complex function of over 16 physical variables, which are unfeasible both to measure and to... -
Image reconstruction based on improved block compressed sensing
Compressed sensing (CS) technique can sample and compress simultaneously. Since an image contains a huge amount of information, block CS (BCS)...
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Modular ADMM-Based Strategies for Optimized Compression, Restoration, and Distributed Representations of Visual Data
Iterative techniques are a well-established tool in modern imaging sciences, allowing to address complex optimization problems via sequences of... -
Bidirectional Texture Function Modeling
An authentic material’s surface reflectance function is a complex function of over 16 physical variables, which are unfeasible both to measure and to... -
An Efficient Algorithm for Computing the Approximate t-URV and its Applications
This paper is devoted to the definition and computation of the tensor complete orthgonal decomposition of a third-order tensor called t-URV...
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Identifying a Workplace from a Monitor Snapshot
AbstractThe authors consider develo** a system for identifying the channel of information leakage from a photograph of a document taken from a...