Results 41 to 50 of about 1,568 (215)

A Secure 3D-Spiht Codec

open access: yes, 2004
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Shiguo Lian, Jinsheng Sun, Zhiquan Wang
openaire   +3 more sources

Partial Encryption on SPIHT Compressed Images [PDF]

open access: yes, 2009
Recently, Multimedia security paradigm has shifted towards encryption techniques combined with compression systems to meet the constraints of wireless networks. Several techniques of encryption with compression have been proposed to reduce processing time, but either they are insecure or computationally intensive.
Nidhi Taneja   +2 more
openaire   +2 more sources

Classified Vector SPIHT for Wavelet Image Coding [PDF]

open access: yes, 2006
Wavelet based image coding has been shown to be an effective method, especially at low bit rate. Two successful approaches, space-frequency quantization (SFQ) and set partitioning in hierarchical trees (SPIHT) were proposed to predict insignificant ...
Yongqing Liang   +3 more
core   +1 more source

Hierarchical mask creation for intelligent image coding using saliency maps

open access: yesInternational Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, 2016
In this paper we analyze basic mask creation methods for intelligent image coding using saliency maps. For saliency maps based image coding we use specific extension of SPIHT algorithm called SM SPIHT related to region of interest encoding but extending ...
Radoslav Vargic, Jaroslav Polec
doaj   +1 more source

BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS

open access: yesICTACT Journal on Image and Video Processing, 2017
In this paper, a multiwavelet based fingerprint compression technique using set partitioning in hierarchical trees (SPIHT) algorithm with optimised prefilter coefficients is proposed.
N R Rema, K T Shanavaz, P Mythili
doaj   +1 more source

EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding

open access: yesIEEE Access, 2020
Electroencephalography (EEG) signals are commonly used in medical applications for prevention, diagnosis, and detection of neurological diseases. These EEG signals have also been used in designing brain computer interfaces for assistive technologies. For
Beenish Khalid   +4 more
doaj   +1 more source

CDRWF: Compressed Domain Based Robust Watermarking Framework for Colored Images

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
Image watermarking in the compressed domain is a highly significant research problem. The work proposed in this paper addresses the dual challenge of optimizing image compression for storage conservation and simultaneously implementing robust image watermarking for copyright protection.
Samrah Mehraj   +2 more
wiley   +1 more source

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

MODIFICATION TO SPIHT ALGORITHM USING INCREMENTAL THRESHOLD FOR IMAGE COMPRESSION [PDF]

open access: yes, 2020
The Modified SPIHT represents a more efficient implementation of the SPIHT algorithm by using variable thresholds to sort the list of insignificant pixels (LIP) and the list of insignificant sets (LIS).
PAWAR, RASHMI V., JADHAV, A. S.
core   +1 more source

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