Results 41 to 50 of about 244 (177)

Research on image compression technology based on improved SPIHT compression algorithm for power grid data

open access: yesJournal of Intelligent Systems
At present, the amount of information on power grid operation and maintenance monitoring image data is increasing, and the requirements for data compression are higher and higher.
Liu Min   +3 more
doaj   +1 more source

Image Compression Algorithm Based on Region of Interest Extraction for Unmanned Aerial Vehicles Communication

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
UAVs are widely used but have limited storage and bandwidth issues, so we propose ROIE‐UC, an image compression algorithm for UAV communication. ROIE‐UC uses SLIC and DBSCAN to segment images into ROI and non‐ROI, applying lossless and high‐ratio lossy compression, respectively, and is decompressed at the receiving end.
Yanxia Liang   +3 more
wiley   +1 more source

Studying the Effects of Compression in EEG-Based Wearable Sleep Monitoring Systems

open access: yesIEEE Access, 2020
Long-term sleep monitoring through the use of wearable EEG-based systems generates large volumes of data that need to be either locally stored or wireless transmitted.
Deland Hu Liu, Syed Anas Imtiaz
doaj   +1 more source

An Improved Downlink MC-CDMA System for Efficient Image Transmission

open access: yesJournal of Telecommunications and Information Technology, 2017
Image compression is an essential stage of the data archiving and transmitting process, as it reduces the number of bits and the time required to complete the transmission.
Mohammed Sofiane Bendelhoum   +3 more
doaj   +1 more source

PERFORMANCE ANALYSIS OF SET PARTITIONING IN HIERARCHICAL TREES (SPIHT) ALGORITHM FOR A FAMILY OF WAVELETS USED IN COLOR IMAGE COMPRESSION [PDF]

open access: yesICTACT Journal on Image and Video Processing, 2014
With the spurt in the amount of data (Image, video, audio, speech, & text) available on the net, there is a huge demand for memory & bandwidth savings. One has to achieve this, by maintaining the quality & fidelity of the data acceptable to the end user.
A. Sreenivasa Murthy   +2 more
doaj  

Comparison of IRIS Image Compression using JPEG 2000, SPIHT and modified SPIHT algorithm

open access: yesIOSR Journal of Electronics and Communication Engineering, 2014
Biometric recognition is a common and reliable way to authenticate the identity of the person. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on images of the irides of an individual's eyes.
Mr. Pushkar M.Sathe, Ms. Pranavi Mhatre
openaire   +1 more source

Design of Biorthogonal Wavelets based on Spline and Spline-like Functions for Image Compression

open access: yesInternational Journal of Emerging Research in Engineering, Science, and Management, 2022
Wavelet theory inspired from Fourier analysis is based on the basis function and its properties. Different wavelets use different basis functions which may better suit to some applications.
K Subramanyam, T Ramasri
doaj   +1 more source

Adaptive two-step method for providing the desired visual quality for SPIHT

open access: yesРадіоелектронні і комп'ютерні системи, 2022
Lossy compression has been widely used in various applications due to its variable compression ratio. However, distortions are introduced unavoidably, and this decreases the image quality.
Fangfang Li
doaj   +1 more source

ROBUST IMAGE TRANSMISSION USING SPIHT AND TURBO- CODES

open access: yesElectrica, 2008
This work describes a method for providing robustness to errors from a binary symmetric channel for the SPIHT image compression. The source rate and channel rate are jointly optimized by a stream of fixed-size channel packets.
Abdelmounaim MOULAY LAKHDAR   +2 more
doaj   +2 more sources

Three-Dimensional SPIHT Coding of Volume Images with Random Access and Resolution Scalability

open access: yesEURASIP Journal on Image and Video Processing, 2008
End users of large volume image datasets are often interested only in certain features that can be identified as quickly as possible. For hyperspectral data, these features could reside only in certain ranges of spectral bands and certain spatial areas ...
William A. Pearlman, Emmanuel Christophe
doaj   +2 more sources

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