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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.

[1] Chen, M.J., Wei, C., 2002. Improved Region-of-Interest Image Coder and its Application. IEEE International Conference of Consumer Electronics, p.226-227.

[2] Chen, H., Zhang, Y., Wang, L., 2006. Constraint Net Based Error Recovery for High-frequency Information of Remote Sensing Image in JPEG2000 Transmission. ISSCAA 2006, p.436-439.

[3] Hou, X.S., Liu, G.Z., Zou, Y.Y., 2004. SAR image data compression using wavelet packet transform and universal-trellis coded quantization. IEEE Trans. on Geosci. Remote Sensing, 42(11):2632-2642.

[4] Huang, W.B., Chang, Y.J., Su, A.W.Y., Kuo, Y.H., 2003. VLSI Design of DWT/Modified Efficient SPIHT Based Image Codec. Proc. Joint Conference of the 4th International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia, 1:248-252.

[5] Li, S., Li, W., 2000. Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding. IEEE Trans. on Circuits Syst. Video Technol., 10(5):725-743.

[6] Qin, X., Yan, X.L., Yang, C.P., Ye, Y., 2004. Tiling Artifact Reduction for JPEG2000 Image at Low Bit-Rate. IEEE Inter. Conf. on Multimedia and Expo, 2:1419-1422.

[7] Said, A., Pearlman, W.A., 1996. A new fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. on Circuits Syst. Video Technol., 6(3):243-250.

[8] Zhang, Y., Zhao, G., Yu, H., 1993. Wavelet Transform and its Application in Image Compression. IEEE Region 10 Conference of Computer Communication, Control and Power Engineering, p.418-421.

[9] Zhang, Y., Desai, M.D., 2000. Hyperspectral image compression based on adaptive recursive bidirectional prediction/JPEG. Patt. Recog., 33(11):1851-1861.