基于小波的注视点压缩实时视频处理算法

J. Galan-Hernandez, V. Alarcón-Aquino, O. Starostenko, J. Ramírez-Cortés
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引用次数: 5

摘要

小波注视点压缩可以用于实时视频处理框架,以减少通信开销。然而,每个小波对压缩比的影响不尽相同。经典注视点滤波器也在感兴趣区域(ROI)上应用截止频率。然后进行了比较分析,显示了不同截止频率窗口的不同错误率,该窗口保留了ROI系数对在ROI上应用截止的窗口的完整性。仿真结果表明,采用基于小波的注视点压缩可以获得较高的压缩率,同时保持较高的ROI质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet-Based Foveated Compression Algorithm for Real-Time Video Processing
Wavelet foveated compression can be used in real-time video processing frameworks for reducing the communication overhead. However, each wavelet can yields into different results on compression ratio. Classic foveation filters also applies cutoff frequencies over the region of interest (ROI). A comparative analysis has then been performed showing the different error rate for different cutoff frequency windows that preserves the ROI coefficients intact against windows that apply cutoffs over the ROI. Simulation results show that with wavelet-based foveated compression high ratio of compression can be achieved while keeping high quality over the designed ROI.
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