The purpose of lossless image compression is to reduce the amount of data used to represent the image without any information loss, so the original image can be recovered correctly when decoding.
图像的无损压缩是指在编码过程中仅仅去除图像的冗余，图像信息必须保证不丢失，从而可以完整的重建原始图像。
In this paper, a new predictive coding algorithm is presented for lossless image compression.
介绍一种实现图像无损压缩的预测编码算法。
So the algorithm is suitable for the satellite hyper-spectral image compression and also for other wireless-transfer-based lossless image compression.
因此本算法非常适合星载超光谱图像压缩，也可用于其它基于无线传输的无损图像压缩。
Experiments show that the scheme can greatly decrease the entropy of high passes and the lossless image compression bit rate, while the computational complexity increases slightly.
实验结果表明，该方法能有效降低高频子带的信息熵，降低图像的无损压缩比特率，计算复杂度上升不大。
Experiments show that the scheme can greatly decrease the entropy of high passes and the lossless image compression bit rate, while the computational complexity increases slightly.
实验结果表明，该方法能有效降低高频子带的信息熵，降低图像的无损压缩比特率，计算复杂度上升不大。
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