Lossless and Near-Lossless L-Infinite Compression of Depth Video Data [PDF]
The acquisition of depth information sensorial data is critically important in medical applications, such as the monitoring of the elderly or the extraction of human biometrics.
Mohammad Ali Tahouri +3 more
doaj +6 more sources
Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images [PDF]
Rapid and continuous advancements in remote sensing technology have resulted in finer resolutions and higher acquisition rates of hyperspectral images (HSIs).
Amal Altamimi, Belgacem Ben Youssef
doaj +4 more sources
Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images [PDF]
Recent advancements in hyperspectral imaging have significantly increased the acquired data volume, creating a need for more efficient compression methods for handling the growing storage and transmission demands.
Amal Altamimi, Belgacem Ben Youssef
doaj +4 more sources
Near-Lossless Compression for Large Traffic Networks [PDF]
With advancements in sensor technologies, intelligent transportation systems can collect traffic data with high spatial and temporal resolution. However, the size of the networks combined with the huge volume of the data puts serious constraints on ...
Asif, Muhammad Tayyab +4 more
core +8 more sources
Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction [PDF]
Xiaoying Song +2 more
exaly +4 more sources
Hardware Implementation of the CCSDS 123.0-B-2 Near-Lossless Compression Standard Following an HLS Design Methodology [PDF]
The increment in the use of high-resolution imaging sensors on-board satellites motivates the use of on-board image compression, mainly due to restrictions in terms of both hardware (computational and storage resources) and downlink bandwidth with the ...
Yubal Barrios +3 more
doaj +2 more sources
Epipolar Plane Image-Based Lossless and Near-Lossless Light Field Compression [PDF]
Recent advances in the computer technology has enabled many theoretical ideas in computer vision to become practical also within camera technology. Light field technology aims at replacing the traditional camera design by acquiring the intensity of light
M. Umair Mukati, Soren Forchhammer
doaj +2 more sources
Near-Lossless Deep Feature Compression for Collaborative Intelligence [PDF]
Collaborative intelligence is a new paradigm for efficient deployment of deep neural networks across the mobile-cloud infrastructure. By dividing the network between the mobile and the cloud, it is possible to distribute the computational workload such that the overall energy and/or latency of the system is minimized. However, this necessitates sending
Hyomin Choi, Ivan V. Bajić
openalex +4 more sources
This article studies the performance impact related to different parameter choices for the new CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression standard.
Ian Blanes +3 more
doaj +3 more sources
Non-Uniform Entropy-Constrained L∞ Quantization for Sparse and Irregular Sources [PDF]
Near-lossless coding schemes traditionally rely on uniform quantization to control the maximum absolute error (L∞ norm) of residual signals, often assuming a parametric model for the source distribution. This paper introduces a novel design framework for
Alin-Adrian Alecu +3 more
doaj +2 more sources

