Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks
IEEE Access, 2021 This paper presents a new lossless image compression method based on the learning of pixel values and contexts through multilayer perceptrons (MLPs). The prediction errors and contexts obtained by MLPs are forwarded to adaptive arithmetic encoders, like ...
Hochang Rhee +3 more
doaj +2 more sources
Joint Lossless Image Compression and Encryption Scheme Based on CALIC and Hyperchaotic System
Entropy, 2021 For efficiency and security of image transmission and storage, the joint image compression and encryption method that performs compression and encryption in a single step is a promising solution due to better security.
Miao Zhang +3 more
doaj +2 more sources
Lossless and Near-Lossless Compression for Foundation Models
CoRRWith the growth of model sizes and scale of their deployment, their sheer size burdens the infrastructure requiring more network and more storage to accommodate these. While there is a vast literature about reducing model sizes, we investigate a more traditional type of compression -- one that compresses the model to a smaller form and is coupled with ...
Moshik Hershcovitch +6 more
openaire +3 more sources
The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities. [PDF]
Sensors (Basel), 2021 Networking is crucial for smart city projects nowadays, as it offers an environment where people and things are connected. This paper presents a chronology of factors on the development of smart cities, including IoT technologies as network ...
Nasif A, Othman ZA, Sani NS.
europepmc +2 more sources
A lossless compression method for multi-component medical images based on big data mining. [PDF]
Sci Rep, 2021 In disease diagnosis, medical image plays an important part. Its lossless compression is pretty critical, which directly determines the requirement of local storage space and communication bandwidth of remote medical systems, so as to help the diagnosis ...
Xin G, Fan P.
europepmc +2 more sources
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression [PDF]
International Conference on Learning Representations, 2023 Recent advances in large language model (LLM) pretraining have led to high-quality LLMs with impressive abilities. By compressing such LLMs via quantization to 3-4 bits per parameter, they can fit into memory-limited devices such as laptops and mobile ...
Tim Dettmers +8 more
semanticscholar +1 more source
Centrifuger: lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification. [PDF]
Genome BiolCentrifuger is an efficient taxonomic classification method that compares sequencing reads against a microbial genome database. In Centrifuger, the Burrows-Wheeler transformed genome sequences are losslessly compressed using a novel scheme called run ...
Song L, Langmead B.
europepmc +2 more sources
LLMZip: Lossless Text Compression using Large Language Models [PDF]
arXiv.org, 2023 We provide new estimates of an asymptotic upper bound on the entropy of English using the large language model LLaMA-7B as a predictor for the next token given a window of past tokens.
Chandra Shekhara Kaushik Valmeekam +4 more
semanticscholar +1 more source
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2023 In recent years, we have witnessed the presence of point cloud data in many aspects of our life, from immersive media, autonomous driving to healthcare, although at the cost of a tremendous amount of data.
D. Nguyen, A. Kaup
semanticscholar +1 more source
Parallel Intelligent Compression Method for Synchrotron Radiation Light Source Images [PDF]
Jisuanji gongcheng, 2023 The High-Energy Photon Source(HEPS) under construction generates a large amount of raw data.The images generated by the hard X-ray imaging beamline, which is characterized by a high resolution and high frame rate, occupy the largest storage space, and an
FU Shiyuan, ZHANG Minxing, GAO Yu, WANG Lu, CHENG Yaodong
doaj +1 more source