Results 11 to 20 of about 1,285 (216)
RL-SPIHT: Reinforcement Learning-Based Adaptive Selection of Compression Ratios for 1-D SPIHT Algorithm [PDF]
IEEE Access, 2021 In recent years, deep learning technologies have been actively used in various applications. In particular, networks trained using reinforcement learning (RL) are widely exploited for auxiliary tasks in various multimedia frameworks, including image ...
Jin Shin, Hyun Kim
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Fully spatial and SNR scalable, SPIHT-based image coding for transmission over heterogenous networks
Journal of Telecommunications and Information Technology, 2003 This paper presents a fully scalable image coding scheme based on the set partitioning in hierarchical trees (SPIHT) algorithm. The proposed algorithm, called fully scalable SPIHT (FS-SPIHT), adds the spatial scalability feature to the SPIHT algorithm ...
Habibollah Danyali
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A Multiresolutionnal Coding Method Based on SPIHT [PDF]
Signal Processing: Image Communication, 2001 In this work, we incorporate a multiresolutional coding functionality into the SPIHT algorithm [1]. The multiresolutional coding can be considered as a kind of the region of interest (ROI) coding with multiple regions of interest. Therefore, the ROI coding proposed by authors can be extended for the multiresolutional functionality without any cost in ...
Park, Keun-hyeong +2 more
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Algorithmic modifications to SPIHT
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002 This paper proposes several low complexity algorithmic modifications to the SPIHT (set partitioning in hierarchical trees) image coding method of Said and Pearlman (1996). The modifications exploit universal traits common to the real world images. Approximately 1-2% compression gain (bit rate reduction for a given mean squared error) has been obtained ...
Ulug Bayazit, William A. Pearlman
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Compressed domain image retargeting in hierarchical wavelet trees
The Journal of Engineering, 2022 This paper presents an efficient algorithm with content aware spatial scalability for effective displaying on various screens of different sizes. It combines the set partitioning in hierarchical trees (SPIHT) algorithm and the multiscale seam carving ...
Hsi‐Chin Hsin
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Robust image transmission performed by SPIHT and turbo-codes [PDF]
Serbian Journal of Electrical Engineering, 2008 This work describes the 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. Punctured turbo codes are
Lakhdar Moulay Abdelmounaim +2 more
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Classified Vector Spiht Forwavelet Image Coding
2006 International Conference on Image Processing, 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 wavelet coefficients.
YongQing Liang 0003, Scott E. Budge
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Optimal Relay Selection using jellyfish Optimization Algorithm for Image Transmission over Multiuser Cooperative Communication Networks [PDF]
JES: Journal of Engineering Sciences, 2023 A recent study and research have shown that the relay selection schemes for cooperative communication can achieve full cooperative diversity gains and still maintains energy efficiency.
fatma mohamed +2 more
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Motion Compensated Video Compression with 3D Wavelet Transform and SPIHT
Radioengineering, 2006 The following paper introduces a low bitrate video coding method on the basis of 3D motion compensated wavelet transform and SPIHT algorithm. In contrast to the conventional algorithms applying motion compensation and differential coding, here wavelet ...
K. Fazekas, L. Konyha, B. Enyedi
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Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem
IET Image Processing, Volume 17, Issue 14, Page 4176-4189, 11 December 2023., 2023 This paper proposes a Boolean network model with high dimensional chaos driving and studies the synchronization of the chaos driving Boolean network with a semi‐tensor product. In addition, the synchronization results are utilized in the image cryptosystem to achieve compression and encryption.
Peng‐Fei Yan +4 more
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