Lossless and Near-Lossless Compression of Hyperspectral Images Based on Search for L_∞ Minimum and Coset Coding
Keyan Wang · Dianzi xuebao · 2011
Distributed source coding(DSC) is applied to hyperspectral image compression due to its low complexity and error resilience.In the framework of typical scalar coset coding based distributed compression method(s-DSC),it is pointed out in this paper that the infinity-norm minimization should be the best criterion for prediction,and a sub-optimal prediction method based on search for L∞ minimum is proposed to approach the criterion.In addition,the compression scheme is extended to near-lossless compression.The experimental results show that the lossless compression bitrate of the proposed method is reduced by about 0.25bpp compared to s-DSC and the near-lossless compression outperforms JPEG-LS significantly.Owing to the advantages of low complexity,high performance and error resilience,the proposed method is quite suitable for onboard compression.