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Found 12 papers, 1 papers with code
Implicit Neural Multiple Description for DNA-based data storage
DNA exhibits remarkable potential as a data storage solution due to its impressive storage density and long-term stability, stemming from its inherent biomolecular structure.
INR-MDSQC: Implicit Neural Representation Multiple Description Scalar Quantization for robust image Coding
Multiple Description Coding (MDC) is an error-resilient source coding method designed for transmission over noisy channels.
MQ-Coder inspired arithmetic coder for synthetic DNA data storage
This paper introduces a novel arithmetic coder for DNA data storage, and presents some results on a lossy JPEG 2000 based image compression method adapted for DNA data storage that uses this novel coder.
Image storage on synthetic DNA using compressive autoencoders and DNA-adapted entropy coders
Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (rarely accessed data), has motivated research for alternative systems of data storage.
Rotating labeling of entropy coders for synthetic DNA data storage
Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (i. e. rarely accessed), has motivated research for alternative systems of data storage.
Multiple description video coding for real-time applications using HEVC
Remote control vehicles require the transmission of large amounts of data, and video is one of the most important sources for the driver.
Quantization for decentralized learning under subspace constraints
In this paper, we consider decentralized optimization problems where agents have individual cost functions to minimize subject to subspace constraints that require the minimizers across the network to lie in low-dimensional subspaces.
Learning sparse auto-encoders for green AI image coding
Recently, convolutional auto-encoders (CAE) were introduced for image coding.
Image Storage on Synthetic DNA Using Autoencoders
Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (rarely accessed data), has motivated research for alternative systems of data storage.
A constrained Shannon-Fano entropy coder for image storage in synthetic DNA
The exponentially increasing demand for data storage has been facing more and more challenges during the past years.
Retinal-inspired Filtering for Dynamic Image Coding
We applied the non-SPAM filter on a still image which is flashed for a long time.
HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models
Efficient representations and storage are thus becoming "enabling technologies'' in HPC experimental and simulation science.
