An efficient macroblock-based diverse and flexible prediction modes selection for hyperspectral images coding

作者：Zhao Fan; Liu Guizhong^*; Wang Xing

来源：Signal Processing: Image Communication , 2010, 25(9): 697-708.

DOI：10.1016/j.image.2010.07.003

• Hyperspectral images
• Compression coding
• H 264/AVC
• Prediction mode
• Correlation coefficients

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 x 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 x 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 co

• 出版日期2010-10
• 单位西安交通大学; 西安理工大学