Image compression using an edge adapted redundant dictionary and wavelets

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Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...

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In 1970, Furth and Yoshikawa (1970 Phys. Fluids 13 2593-6) introduced the scalings of adiabatic plasma compression. Basically, if the shape of the external plasma boundary and the aspect ratio are preserved during the compression, then the density, kinetic ...

Neuroscientists seek efficient solutions for deciphering the sophisticated unknowns of the brain. Effective development of complicated brain-related tools is the focal point of research in neuroscience and neurotechnology. Thanks to today's technological a ...

Image compression using an edge adapted redundant dictionary and wavelets

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Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

Matching centralized learning performance via compressed decentralized learning with error feedback

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Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

All Byzantine Agreement Problems Are Expensive

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Evaluating the effect of sparse convolutions on point cloud compression

JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression

Communication-efficient distributed training of machine learning models

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Evaluation of the impact of lossy compression on event camera-based computer vision tasks

PROBING INTRACELLULAR ELASTICITY WITH MINIMAL-HESSIAN REGISTRATION

Modeling Structured Data in Attention-based Models

Results on Sparse Integer Programming and Geometric Independent Sets

Shafranov shift correction to the Furth-Yoshikawa scaling of tokamak adiabatic compression

Data Transformation in the Processing of Neuronal Signals: A Powerful Tool to Illuminate Informative Contents