Superpixel based recursive least-squares method for lossless compression of hyperspectral images
Sign Up to like & getrecommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0590-4
Abstract: AbstractFiltering based compression methods have become a popular research topic in lossless compression of hyperspectral images. Recursive least squares (RLS) based prediction methods provide better decorrelation performance among the filtering based methods. In this paper,… read more here.
Keywords: recursive least; compression; hyperspectral images; compression hyperspectral ... See more keywords
Medical Image Compression Approach Based on Image Resizing, Digital Watermarking and Lossless Compression
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-016-1150-5
Abstract: The computerization of images have been important for different medical applications. Nevertheless, the huge volume of medical images can rapidly saturate transmission especially in telemedicine field and may encumber storage systems in case of local… read more here.
Keywords: compression; image; digital watermarking; lossless compression ... See more keywords
Lossless Compression Using the Ramanujan Sums: Application to Hologram Compression
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3014979
Abstract: The Ramanujan sum, introduced by S. Ramanujan, has been utilized—among other applications—for signal processing. It has recently been suggested that transforms using the Ramanujan sums may also provide the benefit of data compression. This study… read more here.
Keywords: compression; using ramanujan; lossless compression; hologram compression ... See more keywords
Lossless Compression of Neuromorphic Vision Sensor Data Based on Point Cloud Representation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222330
Abstract: Visual information varying over time is typically captured by cameras that acquire data via images (frames) equally spaced in time. Using a different approach, Neuromorphic Vision Sensors (NVSs) are emerging visual capturing devices that only… read more here.
Keywords: compression; lossless compression; neuromorphic vision; point cloud ... See more keywords
Lossless Compression of Event Camera Frames
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3196599
Abstract: The letter introduces an efficient context-based lossless image codec for encoding event camera frames. The asynchronous events acquired by an event camera in a spatio-temporal neighborhood are collected by an Event Frame (EF). A more… read more here.
Keywords: lossless compression; event; camera frames; event camera ... See more keywords
Stream-Based Lossless Compression of Sensor Signals Using an Integer Adaptive Predictor
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3204550
Abstract: Real-time sensor signal acquisition poses new challenges in data transmission and storage. Therefore, it is beneficial to insert a lossless compression system between the sensor signal’s generation and subsequent data transmission. Additionally, the compression algorithm… read more here.
Keywords: using integer; stream based; compression system; compression ... See more keywords
Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2016.2603527
Abstract: This paper addresses the problem of efficient predictive lossless compression on the regions of interest (ROIs) in the hyperspectral images with no-data regions. We propose a two-stage prediction scheme, where a context-similarity-based weighted average prediction… read more here.
Keywords: predictive lossless; compression regions; images data; regions interest ... See more keywords
Real-Time Lossless Compression for Ultrahigh-Density Synchrophasor and Point-on-Wave Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3057034
Abstract: Modern advanced phasor measurement units are developed with ultrahigh reporting rates to meet the demand for monitoring the power systems dynamics in detail. Due to the large volume of data, the communication and storage systems… read more here.
Keywords: compress; synchrophasor; time; pow data ... See more keywords