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Volume 54 Issue 5
Oct.  2019
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Journal of Southwest Jiaotong University  > 2019  >  54(5): 1012-1020.
LI Ying, LI Bo, GAO Xinbo. Efficient Compression Algorithm for Improving Visual Quality ofWeak Targets in High Precision Images[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1012-1020. doi: 10.3969/j.issn.0258-2724.20180180
Citation: LI Ying, LI Bo, GAO Xinbo. Efficient Compression Algorithm for Improving Visual Quality ofWeak Targets in High Precision Images[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1012-1020. doi: 10.3969/j.issn.0258-2724.20180180
shu

Efficient Compression Algorithm for Improving Visual Quality ofWeak Targets in High Precision Images

doi: 10.3969/j.issn.0258-2724.20180180
  • Received Date: 14 Mar 2018
  • Rev Recd Date: 11 Oct 2018
    • Available Online: 13 Nov 2018
  • Publish Date: 01 Oct 2019
    Abstract
  • In order to effectively compress high precision images, and ensure desirable fidelity of weak target area of the reconstructed image, a high precision image compression algorithm based on error optimization coding is proposed to improve the quality of weak target area. First, the JPEG-LS (joint photographic experts group lossless) compression algorithm is used to compress the image data, and the error coding data is selected in an adaptive way during the run-length encoding process. Then, the non-uniform quantization based on visual quality is also carried out, and the quantized values are decomposed to remove the correlation between them. Finally, the entropy coding of the decomposed data is carried out by MQ arithmetic encoder. In the reconstruction, the inverse quantization value is reconstructed according to the quantized interval, and the inverse quantization optimization and filtering optimization are carried out. The performance of this algorithm is also compared with those of JPEG-LS and JPEG2000 (joint photographic experts group 2000) algorithms. The experimental results show that this algorithm can achieve high-efficiency and high-precision compression of image data. This algorithm is low in complexity and easy for hardware implementation. Although the algorithm incorporates error data optimization and coding process, the amount of data encoded is small, and it is equivalent to the JPEG-LS in compression speed. The compression speed of the JPEG2000 algorithm is about 4.47 times higher. At the same time, it effectively reduces the information loss caused by the conventional algorithms. The peak signal-to-noise ratio of the reconstructed image of the proposed algorithm is equivalent to or slightly lower than that of JPEG-LS and JPEG2000, but it has better visual quality and fidelity of the weak target area.

     

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    • References(15)
  • DENG J X, DENG H T. An image joint compression-encryption algorithm based on adaptive arithmetic coding[J]. Chin. Phys. B, 2013, 22(9): 1-6.
    邓家先,任玉莉. 基于改进零树编码的图像联合压缩加密算法[J]. 光子学报,2013,42(1): 121-126.

    DENG Jiaxian, RENG Yuli. Image joint compression encryption algorithm based on improved zero tree coding[J]. Acta Photonica Sinica, 2013, 42(1): 121-126.
    ZHANG K, TAO D, GAO X, et al. Coarse-to-fine learning for single-image super-resolution[J]. IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 2017(28): 1109-1122.
    DJELOUAT H, ALI A, AMIRA A, et al. Compressive sensing based electronic nose platform[J]. Digital Signal Processing, 2016, 60: 350-359.
    DROST G W, BOURBAKIS N G. A hybrid system forreal-time lossless image compression[J]. Micropro-cessors and Microsystems, 2001, 25(1): 19-31. doi: 10.1016/S0141-9331(00)00102-2
    TU C J, TRAN T D. Contex-based entropy coding of block transform coefficients for image compression[J]. IEEE Transactions on Image Processing, 2002, 11(11): 127-128.
    SHI C, ZHANG J, ZHANG Y. Content-based onboard compression for remote sensing images[J]. Neurocomputing, 2016, 191: 330-340. doi: 10.1016/j.neucom.2016.01.048
    CHEN H Y, CHANG C C. A new lossless compresion scheme based on huffman coding scheme for image compression[J]. Signal Processing: Image Communi- cation, 2000, 16(4): 367-372. doi: 10.1016/S0923-5965(99)00064-8
    KONG F Q, WU X Y. An improved distributed source coding and ROI coding-based interferometric multi-spectral image compression alogrithm[J]. Journal of Astronautics, 2011, 32(2): 367-373.
    DENG C W, LIN W S, CAI J F. Content-based image compression for arbitrary- resolution display devices[J]. IEEE Trans. on Multimiedia, 2012, 14(4): 1127-1139. doi: 10.1109/TMM.2012.2191270
    BRUYLABTS T, MUNTEANU A, SCHELKENS P. Wavelet based volumetric medical image compre-ssion[J]. Signal Processing Image Communication, 2015, 31(36): 112-133.
    石翠萍,张钧萍,张晔. 基于自适应扫描的图像压缩方法[J]. 系统工程与电子技术,2016,38(1): 193-199. doi: 10.3969/j.issn.1001-506X.2016.01.30

    SHI Cuiping, ZHANG Junping, ZHANG Ye. Image compression method mased on adaptive scanning[J]. Journal of Systems Engineering and Electronics, 2016, 38(1): 193-199. doi: 10.3969/j.issn.1001-506X.2016.01.30
    孔繁锵. 结合HVS和相似性度量的图像质量评价测度[J]. 中国图象图形学报,2011,16(7): 1184-1191. doi: 10.11834/jig.20110702

    KONG Fanqiang. Image quality assessment based on HVS and similarity measure[J]. Journal of Image and Graphics, 2011, 16(7): 1184-1191. doi: 10.11834/jig.20110702
    张毅,雷杰,李云松. 一种新的基于先验数据表的JPEG-LS动态码率控制算法[J]. 电子与信息学报,2014,36(4): 823-827.

    ZHANG Yi, LEI Jie, LI Yunsong. A novel dynamic rate control algorithm for JPEG-LS based on empirical data table[J]. Journal of Electronics & Information Technology, 2014, 36(4): 823-827.
    MUNADI K, UROSAKI M K, NISHIKAWA K, et al. Evaluation of JPEG2000 error resilience over OFDM channel[J]. Ieice Technical Report Image Engineering, 2017, 102(315): 37-42.
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