为解决空间遥感图像数据量及信道带宽之间的矛盾,该文提出一种基于JPEG2000的感兴趣区域(Region Of Interest, ROI)编码算法。主流的JPEG2000 ROI编码算法难以兼顾ROI质量和系统计算量,且在低码率编码时有完全丢失背景的隐患。该算法通过精确控制各子带中背景系数的精度,使ROI分配到更多码流。并引入了人眼视觉特性,使较少的背景码流产生尽量好的视觉效果。另外,根据该算法提出了针对矩形ROI的超大规模集成电路(VLSI)设计,此设计经过简单调整,亦可适用于主流的ROI编码算法。测试结果表明,该算法在ROI质量和重建图像视觉效果上均表现优异,且支持任意形状ROI编码,兼容JPEG2000协议。该VLSI设计仅使JPEG2000系统运行时间增加一个周期,具有极高的吞吐率,可满足实时处理要求。
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.
王建新,朱恩,刘文松,祁友杰. 基于JPEG2000的遥感图像感兴趣区域编码新算法及其VLSI设计[J]. 电子与信息学报, 2016, 38(4): 958-963.
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. JEIT, 2016, 38(4): 958-963.
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.
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.
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.
[5]
ISO/IEC. Information TechnologyJPEG2000 Image Coding System-Part 2: Extensions[S]. 2004.
[6]
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.
[7]
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.
[8]
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.
[9]
TAUBMAN D and MARCELLIN M. JPEG2000 Image Compression Fundamentals, Standards and Practice[M]. USA: Kluwer Academic Publishers, 2001: 639-641.
[10]
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.
[11]
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.
[12]
AMELI J, VAISEY J, and TONG Jin. Selecting the don’t care bits in JPEG2000 ROI coding[C]. Proceedings of SPIE Visual Communications and Image Processing, San Jose, 2004, 5308: 1383-1390.
[13]
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.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
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.
[19]
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.
[20]
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.
[21]
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.
[22]
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.
[23]
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.
[24]
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.
[25]
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.
[26]
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.