文章摘要
隋玉萍,何昕,魏仲慧.高帧频数字图像序列实时压缩算法[J].,2009,(3):454-458
高帧频数字图像序列实时压缩算法
A real-time compression algorithm of high frame-frequency digital image sequence
  
DOI:10.7511/dllgxb200903027
中文关键词: 高帧频数字图像序列  实时压缩  形态Harr小波  感兴趣区域
英文关键词: high frame-frequency digital image sequence  real-time compression  morphological Harr wavelet  region of interest
基金项目:“八六三”国家高技术研究发展计划资助项目.
作者单位
隋玉萍,何昕,魏仲慧  
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中文摘要:
      针对高帧频数字图像序列的特点,提出了一种自适应近无损压缩算法,将连续的 n 帧分为一节,每节的第一帧进行基于帧内感兴趣区域(region of interest,ROI)的压缩,其他帧在帧间差分和阈值处理后进行游程编码.在第一帧内,利用形态Harr小波提升和连通性分析检测出高频子带中的感兴趣区域.对感兴趣区域采用Rice无损熵编码,背景区域不编码.低频子带直接输出.实验结果表明,该算法在帧内能有效地划分感兴趣区域,压缩率在30以上,峰值信噪比在42 dB以上,目标无失真;帧间压缩的压缩率在7左右,背景区域有误差累积,但整体图像的峰值信噪比都在40 dB以上,目标无失真.该算法的计算复杂度较低,易于硬件实现,而且还具有自适应性和数据包独立的优点,适合于高帧频数字图像序列的实时压缩应用.
英文摘要:
      According to the characteristics of high frame-frequency digital image sequence, an adaptive near-lossless compression algorithm is proposed. n consecutive frames were defined as a segment, its first frame was compressed based on ROI (region of interest) intra-framely, and the others were run-length coded after inter-frame difference and threshold processing. In the first frame, ROI of high-frequency subbands was detected by morphological Harr wavelet lifting and connectivity analysis. Rice lossless entropy encoder was used for ROI and non-coded for background. Low subband was directly output. Experimental results show that the algorithm can segmentalize ROI effectively, CR (compression ratio) is higher than 30, PSNR (peak signal to noise ratio) of the whole image is higher than 42 dB, and the object keeps original fidelity. Inter-frame CR is about 7, background has cumulative error and PSNR is higher than 40 dB. The algorithm possesses low complexity and is easy to be implemented in hardware. Moreover, it has the merits of adaptability and independent data packet. Therefore the algorithm is suitable for high frame-frequency digital image sequence real-time compression.
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