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A low bit-rate video coding algorithm based on blocking regional wavelet transform with border processing

机译:基于带边界处理的区域小波变换的低码率视频编码算法

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A novel video coding scheme based on the blocking regional wavelet transform and overlapped motion compensation is researched in this paper. Several new or improved algorithms are proposed. The high-energy regions of interframe predicted difference are first detected using a hierarchical sliding-window region forming algorithm. The regional border is processed to reduce ringing-effects. Wavelet decomposition and quantization are carried out only for these regions. A quantization model based on HVS spatiality-frequency and time-frequency features is used in the coding algorithm. An improved single-pass scanned zero-tree is employed to represent quantized wavelet coefficients. This scheme reduces the bit rate by about 36%-51% or gets a distinct improvement in decoding video quality by cutting down ringing-effects at the same bit rate compared with traditional wavelet-based coding algorithms. Simulation results show acceptable image quality for CIF resolution at low bit-rate and very low bit-rate.
机译:本文研究了一种基于块区域小波变换和重叠运动补偿的视频编码方案。提出了几种新的或改进的算法。首先使用分层滑动窗口区域形成算法检测帧间预测差异的高能区域。处理区域边界以减少振铃效果。仅对这些区域执行小波分解和量化。在编码算法中使用了基于HVS空间频率和时频特征的量化模型。改进的单通扫描零树被用来表示量化的小波系数。与传统的基于小波的编码算法相比,该方案通过降低相同比特率下的振铃效果,可将比特率降低约36%-51%或在解码视频质量方面得到显着改善。仿真结果表明,在低比特率和非常低的比特率下,CIF分辨率的图像质量可以接受。

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