论文部分内容阅读
激光散斑图像压缩对降低数据存储量具有重要的意义。设计了一种激光散斑图像无失真编码器,它由激光散斑位移估计、像素预测和Golomb编码组成。首先估计散斑位移;然后,根据激光动态散斑相关函数设计预测模型,并以预测模型为基础进行像素预测;最后,对预测误差进行Golomb编码。该编码器的主要特点包括使用数字散斑相关方法估计散斑位移,以及基于动态散斑相关函数极值的时间预测。实验结果显示,在压缩激光散斑图像时,激光散斑图像无失真编码器在压缩性能方面取得了较大的提高。
Laser speckle image compression is of great importance to reduce the amount of data stored. A laser speckle image distortionless encoder was designed, which consists of laser speckle displacement estimation, pixel prediction and Golomb encoding. First, the speckle displacement is estimated. Then, the prediction model is designed according to the laser speckle correlation function, and the prediction is based on the prediction model. Finally, Golomb coding is used to predict the error. Key features of the encoder include the use of digital speckle correlation methods to estimate speckle displacements and temporal predictions based on extreme values of dynamic speckle correlation functions. The experimental results show that when compressing the laser speckle image, the laser speckle image without distortion encoder has made a great improvement in the compression performance.