Lossy hyperspectral image compression based on intra-band prediction and inter-band fractal encoding
作者: Dongyu ZhaoShiping ZhuFengchao Wang
作者单位: 1CRRC Qingdao Sifang Locomotive and Rolling Stock Co., Ltd. Qingdao 266111, China.
2Department of Measurement Control and Information Technology, School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
刊名: Computers and Electrical Engineering, 2016, Vol.54 , pp.494-505
来源数据库: Elsevier Journal
DOI: 10.1016/j.compeleceng.2016.03.012
关键词: Hyperspectral imageLossy compressionFractal encodingPrediction
原始语种摘要: Abstract(#br)Recently, hyperspectral image compression has become an urgent issue for remote sensing applications . A lossy hyperspectral image compression scheme based on intra-band prediction and inter-band fractal encoding is put forward in this paper. The hyperspectral image is firstly partitioned into several groups of bands (GOBs). Intra-band prediction is applied to the first band in each GOB, exploiting spatial correlation, while inter-band fractal encoding with a local search algorithm is applied to the other bands in each GOB, making use of the local similarity between two adjacent bands. The fractal parameters are signed Exp-Golomb entropy encoded. To improve the decoded quality, the prediction error and fractal residual are further transformed, quantized, and entropy encoded....
全文获取路径: Elsevier  (合作)
影响因子:0.928 (2012)

  • compression 压缩
  • fractal 分形
  • image 
  • prediction 预报
  • inter 
  • encoding 编码
  • entropy 平均信息量
  • signed 带符号的
  • quantized 量子化的
  • partitioned 修]分割[配,布,块,段,区