TY - GEN
T1 - HMM-based-correlations in infrared remote-image
AU - Yang, Rui
AU - Li, Bo
PY - 2008
Y1 - 2008
N2 - There are plenty of correlations in infrared remote-images that intensities of edge areas are gradually changed. As a result, infrared images usually seem to be blurry. Consequently, the correlations can be utilized to perform efficiently coding. The paper analyzed the characters of typical infrared remote-images. Based on HMM, the contextual model was founded to practice the bit plane coding. Within this method, inner state of wavelet coefficients could be estimated according to its probabilistic character. Experiment results showed that the proposed algorithm was effective in infrared remote-image coding while the compression ratio was 16. And the PSNR can be improved by 0.3-1.2dB. Moreover there is rarely visual distortion in reconstructed images. Meanwhile the method would have broader application prospects.
AB - There are plenty of correlations in infrared remote-images that intensities of edge areas are gradually changed. As a result, infrared images usually seem to be blurry. Consequently, the correlations can be utilized to perform efficiently coding. The paper analyzed the characters of typical infrared remote-images. Based on HMM, the contextual model was founded to practice the bit plane coding. Within this method, inner state of wavelet coefficients could be estimated according to its probabilistic character. Experiment results showed that the proposed algorithm was effective in infrared remote-image coding while the compression ratio was 16. And the PSNR can be improved by 0.3-1.2dB. Moreover there is rarely visual distortion in reconstructed images. Meanwhile the method would have broader application prospects.
UR - https://www.scopus.com/pages/publications/61849131654
U2 - 10.1109/CSSE.2008.754
DO - 10.1109/CSSE.2008.754
M3 - 会议稿件
AN - SCOPUS:61849131654
SN - 9780769533360
T3 - Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
SP - 1
EP - 4
BT - Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
T2 - International Conference on Computer Science and Software Engineering, CSSE 2008
Y2 - 12 December 2008 through 14 December 2008
ER -