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An efficient macroblock-based diverse and flexible prediction modes selection for hyperspectral images coding / Fan Zhao in Signal processing. Image communication, Vol. 25 N° 9 (Octobre 2010) 

Public ISBD [article]  in Signal processing. Image communication > Vol. 25 N° 9 (Octobre 2010) . - pp. 697–708 Titre : An efficient macroblock-based diverse and flexible prediction modes selection for hyperspectral images coding Type de document : texte imprimé Auteurs : Fan Zhao, Auteur ; Guizhong Liu, Auteur ; Xing Wang, Auteur Année de publication : 2012 Article en page(s) : pp. 697–708 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Hyperspectral  images  Compression  coding  H.264/AVC  Prediction  mode  Correlation  coefficients Résumé : In this paper, an efficient macroblock-based diverse and flexible prediction modes selection algorithm is proposed for coding hyperspectral images, which is inspired by the prediction scheme of H264/AVC. Here, different modes are specified for the corresponding macroblocks (16×16 pixel regions of a band) of hyperspectral images other than the whole band image using only one reference band image for prediction. Only the 4×4 mode is employed for the intra-band prediction in view of the fact that correlation coefficients of pixels separated by not more than four pixels in the spatial domain are greater than 0.65 at most cases. The optimal reference band is determined by the fast reference band selection algorithm; thereafter, the best partition of the candidate macroblock in the optimal reference band is further selected for inter-band prediction of the current macroblock. Thus, the stronger correlation in the spectral direction or in the spatial domain is utilized for the prediction of the given macroblock. With a comparably low memory requirement, the prediction coding scheme is proposed to speed up the implemental process using the fast reference band selection algorithm, the integer DCT and the quantization, which just needs the multiplication and bit-shifts operations. Several AVIRIS images are used to evaluate the performance of the algorithm. The proposed scheme outperforms the state-of-the-art 3D-based compression algorithms at lower rates. Moreover, compared with the method by using all the prediction modes of H.264/AVC, about 80% encoding time can be saved by our method under the same experimental condition. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510000871 [article] An efficient macroblock-based diverse and flexible prediction modes selection for hyperspectral images coding [texte imprimé] / Fan Zhao, Auteur ; Guizhong Liu, Auteur ; Xing Wang, Auteur . - 2012 . - pp. 697–708. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 25 N° 9 (Octobre 2010) . - pp. 697–708 Mots-clés : Hyperspectral  images  Compression  coding  H.264/AVC  Prediction  mode  Correlation  coefficients Résumé : In this paper, an efficient macroblock-based diverse and flexible prediction modes selection algorithm is proposed for coding hyperspectral images, which is inspired by the prediction scheme of H264/AVC. Here, different modes are specified for the corresponding macroblocks (16×16 pixel regions of a band) of hyperspectral images other than the whole band image using only one reference band image for prediction. Only the 4×4 mode is employed for the intra-band prediction in view of the fact that correlation coefficients of pixels separated by not more than four pixels in the spatial domain are greater than 0.65 at most cases. The optimal reference band is determined by the fast reference band selection algorithm; thereafter, the best partition of the candidate macroblock in the optimal reference band is further selected for inter-band prediction of the current macroblock. Thus, the stronger correlation in the spectral direction or in the spatial domain is utilized for the prediction of the given macroblock. With a comparably low memory requirement, the prediction coding scheme is proposed to speed up the implemental process using the fast reference band selection algorithm, the integer DCT and the quantization, which just needs the multiplication and bit-shifts operations. Several AVIRIS images are used to evaluate the performance of the algorithm. The proposed scheme outperforms the state-of-the-art 3D-based compression algorithms at lower rates. Moreover, compared with the method by using all the prediction modes of H.264/AVC, about 80% encoding time can be saved by our method under the same experimental condition. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510000871