More efficient ground truth ROI image coding technique: implementation and wavelet based application analysis

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.

[1]  Xiaolang Yan,et al.  Tiling artifact reduction for JPEG2000 image at low bit-rate , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[2]  Guizhong Liu,et al.  SAR image data compression using wavelet packet transform and universal-trellis coded quantization , 2004, IEEE Trans. Geosci. Remote. Sens..

[3]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[4]  Yau-Hwang Kuo,et al.  VLSI design af a DWT/modified efficient SPIHT based image codec , 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

[5]  Ye Zhang,et al.  Constraint net based error recovery for high-frequency information of remote sensing image in JPEG2000 transmission , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.

[6]  Ye Zhang,et al.  Hyperspectral image compression based on adaptive recursive bidirection prediction/JPEG , 2000, Pattern Recognit..

[7]  Chih-Wei Pan,et al.  Improved region-of-interest image coder and its application , 2002, 2002 Digest of Technical Papers. International Conference on Consumer Electronics (IEEE Cat. No.02CH37300).

[8]  Shipeng Li,et al.  Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding , 2000, IEEE Trans. Circuits Syst. Video Technol..

[9]  Z. Ye,et al.  Wavelet transform and its application in image compression , 1993, Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation.