空间液滴蒸发实验中液滴图像的无损压缩算法
doi: 10.11728/cjss2010.03.283
Lossless Compression Algorithm for Droplet Images in Space Droplet Evaporation Experiment
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摘要: 为了提高空间液滴蒸发实验中图像无损压缩率, 根据连续采集到的液滴图像之间相关性很大的特点, 提出了一种基于JPEG-LS和帧间预测误差编码的图像序列无损压缩算法. 该算法对图像序列第一帧采用JPEG-LS算法编码, 对帧间预测误差帧进行Golomb编码, 从而实现对连续采集到的液滴图像序列进行无损压缩. 实验结果表明, 该算法比单纯采用JPEG-LS算法的压缩率有明显提高, 编解码过程更简单, 编码需要时间更少.Abstract: In space droplet evaporation experiment, a great number of droplet images were captured, compressed and then transmitted to the ground station. To improve lossless image compression ratio in space droplet evaporation experiment, according to the high correlation between droplet images that were sequentially captured, an image sequence lossless compression algorithm based on JPEG-LS algorithm and interframe prediction error coding was developed. In this algorithm, JPEG-LS algorithm was applied to the first frame of the image sequence. Every single frame that follows was compared with its previous frame to get an interframe prediction error frame, and Golomb coding was applied to the interframe prediction error frame. In this way, lossless compression for droplet images sequence was realized. The result of experiments shows that the proposed algorithm is superior to JPEG-LS in compression ratio and encoding time.
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