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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (6): 835-840    DOI: 10.1631/jzus.2007.A0835
Information Science & Engineering     
More efficient ground truth ROI image coding technique: implementation and wavelet based application analysis
KUMARAYAPA Ajith, ZHANG Ye
Department of Electronics and Communication Engineering, Harbin Institute of Technology, Harbin 150001, China
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Abstract  In this paper, more efficient, low-complexity and reliable region of interest (ROI) image codec for compressing smooth low texture remote sensing images is proposed. We explore the efficiency of the modified ROI codec with respect to the selected set of convenient wavelet filters, which is a novel method. Such ROI coding experiment analysis representing low bit rate lossy to high quality lossless reconstruction with timing analysis is useful for improving remote sensing ground truth surveillance efficiency in terms of time and quality. The subjective [i.e. fair, five observer (HVS) evaluations using enhanced 3D picture view Hyper memory display technology] and the objective results revealed that for faster ground truth ROI coding applications, the Symlet-4 adaptation performs better than Biorthogonal 4.4 and Biorthogonal 6.8. However, the discrete Meyer wavelet adaptation is the best solution for delayed ROI image reconstructions.

Key wordsSmooth low texture remote sensing (SLTRS) image      Modified region of interest (ROI) image codec      Wavelet filters      Low bit rate (LBR)      High bit rate (HBR)      ROI coding     
Received: 19 December 2006     
CLC:  TN919.81  
Cite this article:

KUMARAYAPA Ajith, ZHANG Ye. More efficient ground truth ROI image coding technique: implementation and wavelet based application analysis. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(6): 835-840.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A0835     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I6/835

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