An Effective Method of Image Quality Protection Based on ROI Extraction

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Abstract:

Direct compression of original map can’t meet users' request on image quality. In order to harmonize image quality and bandwidth of wireless transmission, a protect scheme of UEP (Unequal Error Protection) with JEPG 2000 coder and Channel coding based on RCPC (Rate Compatible Punctured Convolutional) was proposed to improve ROI-based image quality. Firstly, ROI (region-of-interest) was extracted from Saliency Map based on visual attention model. Secondly, ROI and BG (background region) in image which transmitted in wireless channel respectively, were protected by different encoding bit rates and RCPC Code rates. Finally, the PSNR of image was calculated after transmitting in wireless channel using computer simulations. Experimental results show that ROI-based images with high-level protection get a higher quality than image without ROI while not increasing bandwidth.

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Advanced Materials Research (Volumes 433-440)

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1975-1979

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] K.V. Sridhar, Implementation of Prioritised ROI Coding for Medical Image Archiving using JPEG2000, 2008 international conference on signals and electronic systems, Krakow, Sept. 2008. pp.239-242.

DOI: 10.1109/icses.2008.4673403

Google Scholar

[2] D. Walther, C. Koch, Modeling attention to salient proto-objects. Neural Networks, vol. 19, no. 9, p.1395–1407, (2006).

DOI: 10.1016/j.neunet.2006.10.001

Google Scholar

[3] D. Walther. Saliency Toolbox, [Online], Available: http: /www. saliencytoolbox. net/, December 20, (2008).

Google Scholar

[4] Itti Laurent, Koch Christof, Niebur Ernst. A model of saliency-based visual attention for rapid scene analysis, J. IEEE Transactions on PAMI , 1998 , 20 (11): 12542-1259.

DOI: 10.1109/34.730558

Google Scholar

[5] Y. Hu, L. -T. Chia, and D. Rajan, Region-of-Interest based Image Resolution Adaptation for Mpeg-21 Digital item, Proc. ACM Pacific Rim Conference on Multimedia (PCM 2004), Nov. 2004. pp.470-477.

DOI: 10.1145/1027527.1027606

Google Scholar

[6] Yao Qinghua, Cao Miao, Study of Unequal Error Protection Method Based on JPEG2000 for Surveying& Mapping Image, 2008 International Conference on Computer Science and Software Engineering, Wuhan, Hubei, China, Dec. 2008. p.951 – 954.

DOI: 10.1109/csse.2008.1225

Google Scholar

[7] Davoud Arasteh, Teaching Convolutional Coding using MATLAB in Communication Systems Course, [Online], Available: http: /www. aseegsw. org/Proceedings/5. pdf, (2006).

DOI: 10.18260/1-2-620-38821

Google Scholar