SONG Juan, LI Yun-song, WU Cheng-ke, et al. Lossless and Near-Lossless Compression of Hyperspectral Images Based on Search for L∞ Minimum and Coset Coding[J]. Acta Electronica Sinica, 2011, 39(7): 1551-1555.
DOI:
SONG Juan, LI Yun-song, WU Cheng-ke, et al. Lossless and Near-Lossless Compression of Hyperspectral Images Based on Search for L∞ Minimum and Coset Coding[J]. Acta Electronica Sinica, 2011, 39(7): 1551-1555.DOI:
Lossless and Near-Lossless Compression of Hyperspectral Images Based on Search for L∞ Minimum and Coset Coding
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
h
igh performance and error resilience
the proposed method is quite suitable for onboard compression.