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Volume 38 Issue 4
Apr.  2016
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WANG Jianxin, ZHU En, LIU Wensong, QI Youjie. A New Region of Interest Coding Algorithm Based on JPEG2000 for Remote Sensing Images and Its VLSI Design[J]. Journal of Electronics & Information Technology, 2016, 38(4): 958-963. doi: 10.11999/JEIT150812
Citation: WANG Jianxin, ZHU En, LIU Wensong, QI Youjie. A New Region of Interest Coding Algorithm Based on JPEG2000 for Remote Sensing Images and Its VLSI Design[J]. Journal of Electronics & Information Technology, 2016, 38(4): 958-963. doi: 10.11999/JEIT150812

A New Region of Interest Coding Algorithm Based on JPEG2000 for Remote Sensing Images and Its VLSI Design

doi: 10.11999/JEIT150812
Funds:

The National Natural Science Foundation of China (61271058)

  • Received Date: 2015-07-08
  • Rev Recd Date: 2015-12-02
  • Publish Date: 2016-04-19
  • To resolve the conflict between the amount of image data and the channel bandwidth, a Region Of Interest (ROI) coding method based on JPEG2000 is proposed in this paper. The mainstream methods for JPEG2000 ROI coding have a difficulty in balancing ROI quality and system computation, and have a hidden trouble in losing background completely at a low bit rate. The proposed method achieves ROI coding by precisely controlling the accuracy of background coefficients in each subband. The human visual property is introduced to obtain better visual effect with limited background codestream. Also, the Very Large Scale Integration (VLSI) design of the proposed method for the rectangle ROI is proposed. This design can be suitable for the mainstream ROI methods for JPEG2000 by some necessary adjustments. Experimental results show that the proposed method obtains an excellent performance in ROI quality and visual effect of the reconstructed images, supports arbitrary ROI shape coding, and is compatible with the standard. The VLSI design only adds one clock cycle on the coding time of JPEG2000 system, has a high throughput, and satisfies real-time applications.
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  • 储岳中, 徐波, 高有涛, 等. 基于近邻传播聚类与核匹配追踪的遥感图像目标识别方法[J]. 电子与信息学报, 2014, 36(12): 2923-2928. doi: 10.3724/SP.J.1146.2014.00422.
    CHU Yuezhong, XU Bo, GAO Youtao, et al. Technique of remote sensing image target recognition based on affinity propagation and kernel matching pursuit[J]. Journal of Electronics Information Technology, 2014, 36(12): 2923-2928. doi: 10.3724/SP.J.1146.2014.00422.
    李晓博, 孙文方,李立. 静止轨道遥感卫星海面运动舰船快速检测方法[J]. 电子与信息学报, 2015, 37(8): 1862-1867. doi: 10.11999/JEIT141615.
    LI Xiaobo, SUN Wenfang, and LI Li. Ocean moving ship detection method for remote sensing satellite in geostationary orbit[J]. Journal of Electronics Information Technology, 2015, 37(8): 1862-1867. doi: 10.11999/JEIT141615.
    ISO/IEC. Information TechnologyJPEG2000 Image Coding System-Part 1: Core Coding System[S]. 2000.
    CHRISTOPOULOS C, ASKELOF J, and MATHIAS L. Efficient methods for encoding regions of interest in the upcoming JPEG2000 still image coding standard[J].IEEE Signal Processing Letters, 2000, 7(9): 247-249. doi: 10.1109/97.863146.
    ISO/IEC. Information TechnologyJPEG2000 Image Coding System-Part 2: Extensions[S]. 2004.
    WANG Zhou and BOVIK C. Bitplane-by-bitplane shift (BbBshift)A suggestion for JPEG2000 region of interest image coding[J].IEEE Signal Processing Letters,2002, 9(5): 160-162. doi: 10.1109/LSP.2002.1009009.
    WANG Zhou, BANERJEE S, EVANS L, et al. Generalized bitplane-by-bitplane shift (BbBShift) method for JPEG2000 ROI coding[C].Proceedings of International Conference on Image Processing, New York, 2002, 3: 81-84.
    LIU Lijie and FAN Guoliang. A new JPEG 2000 region of interest image coding method: partial significant bitplanes shift [J]. IEEE Signal Processing Letters, 2003, 10(2): 35-38. doi: 10.1109/LSP.2002.807867.
    TAUBMAN D and MARCELLIN M. JPEG2000 Image Compression Fundamentals, Standards and Practice[M]. USA: Kluwer Academic Publishers, 2001: 639-641.
    BARTRINA-RAPESTA J, AULI-LLNAS F, and SERRA-SAGRISTA J. JPEG2000 arbitrary ROI coding through rate-distortion optimization techniques[C]. Data Compression Conference, Snowbird, 2008: 292-301.
    XIE Yun and HAN Guoqiang. ROI coding with separated code block[C]. Proceedings of IEEE International Conference on Machine Learning and Cybernetics, Guangzhou, 2005, 9: 5447-5451.
    AMELI J, VAISEY J, and TONG Jin. Selecting the dont care bits in JPEG2000 ROI coding[C]. Proceedings of SPIE Visual Communications and Image Processing, San Jose, 2004, 5308: 1383-1390.
    KONG Haosong,VETRO A, and HATA T. ROI-based SNR scalable JPEG2000 image transcoding[C].Proceedings of SPIE Visual Communications and Image Processing, Beijing, 2005, 5960: 59605Q.
    SANCHEZ V, BASU A, and MANDAL K. Prioritized region of interest coding in JPEG2000[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2004, 14(9): 1149-1155. doi: 10.1109/TCSVT.2004.833168.
    WABG Jianxin and ZHU En. Background pretruncated method for JPEG2000 region of interest coding[J]. Journal of Electronic Imaging, 2015, 24(3): 033019. doi: 10.1117/1.JEI. 24.3.033019.
    JIAO Licheng, WABG Lei, WU Jiaji, et al. Shape-adaptivreversible integer lapped transform for lossy-to-lossless ROI coding of remote sensing two-dimensional images[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2): 326-330. doi: 10.1109/LGRS. 2010.2072490.
    ZHANG Liao, LI Hao, WABG Pengfei, et al. Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adaptive spatial subsampling visual attention model[J]. GIScience Remote Sensing, 2013, 50(1): 112-132. doi: 10.1080/15481603.2013.778553.
    CHENG Guangchun and BUCKLES B. A nonparametric approach to region-of-interest detection in wide-angle views [J]. Pattern Recognition Letters, 2014, 49(1): 24-32. doi: 10.1016/j.patrec.2014.05.019.
    ANESAN P, RAJINI V, SATHISH S, et al. HSV color space based segmentation of region of interest in satellite images[C]. 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), India, 2014: 101-105.
    ZHANG Libao and YANG Kaina. Region-of-interest extraction based on frequency domain analysis and salient region detection for remote sensing image[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(5): 916-920. doi: 10.1109/LGRS.2013.2281827.
    SALIHA A, KARIMA B, MOULOUD K, et al. Extraction method of region of interest from hand palm: application with contactless and touchable devices[C]. 2014 10th International Conference on Information Assurance and Security (IAS), Okinawa, 2014: 77-82.
    CHEN Huizhong, JING Ning, WANG Jun, et al. A novel saliency detection method for lunar remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 24-28. doi: 10.1109/LGRS.2013.2244845.
    ZHANG Libao, YANG Kaina, and LI Hao. Regions of interest detection in panchromatic remote sensing images based on multiscale feature fusion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(12): 4704-4716. doi: 10.1109/JSTARS. 2014.2319736.
    HAN O, BILGIN A, and MARCELLIN W. Visually lossless JPEG2000 at fractional resolutions[C]. 18th IEEE International Conference on Image Processing (ICIP), Paris, 2011: 309-312.
    HAN O, BILGIN A, and MARCELLIN W. Visually lossless encoding for JPEG2000[J]. IEEE Transactions on Image Processing, 2013, 22(1): 189-201. doi: 10.1109/TIP. 2012.2215616.
    WANG Jianxin and ZHU En. A high-throughput VLSI design for JPEG2000 9/7 discrete wavelet transform[J]. Journal of Southeast University (English Edition), 2015, 31(1): 19-24. doi: 10.3969/j.issn.1003-7985.2015.01.004.
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