A wavelet approach to foveating images
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures
JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures
Multiple arbitrary shape ROI coding with zerotree based wavelet coders
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Distributed Video Coding using Turbo Trellis Coded Modulation
The Visual Computer: International Journal of Computer Graphics
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Video Compression and Communications: From Basics to H.261, H.263, H.264, MPEG4 for DVB and HSDPA-Style Adaptive Turbo-Transceivers
ECG signal compression using 2D wavelet foveation
Proceedings of the 2009 International Conference on Hybrid Information Technology
The Essential Guide to Video Processing
The Essential Guide to Video Processing
Tree Structure Based Data Hiding for Progressive Transmission Images
Fundamenta Informaticae
Wavelet-Based Foveated Compression Algorithm for Real-Time Video Processing
CERMA '10 Proceedings of the 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Region-of-interest coding based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Fast algorithms for foveated video processing
IEEE Transactions on Circuits and Systems for Video Technology
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Region of interest (ROI) based compression can be applied to real-time video transmission in medical or surveillance applications where certain areas are needed to retain better quality than the rest of the image. The use of a fovea combined with ROI for image compression can help to improve the perception of quality and preserve different levels of detail around the ROI. In this paper, a fovea-ROI compression approach is proposed based on the Set Partitioning In Hierarchical Tree (SPIHT) algorithm. Simulation results show that the proposed approach presents better details in objects inside the defined ROI than the standard SPIHT algorithm.