Research on Image Processing Techniques in Virtual Space

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Abstract:

Image processing techniques in virtual space are described in the paper. The images are merged in the wavelet domain to acquire required scene, and dealt with perspective correction. High-quality program can be obtained by stitching a set of images which are processed. And through VC++ experiments, feasibility of the algorithm is proved.

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Periodical:

Advanced Materials Research (Volumes 546-547)

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435-440

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July 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chenggang Wang, Ping Jiang and Qinzhang Wu, An Interactive Superposition Technology for High Frame Virtual Image, SEMICONDUCTOR OPTOELECTRONICS, vol. 28, No. 6, 2007, pp.870-873.

Google Scholar

[2] Dongjian He, Nan Geng and Yikuan Zhang, Digital Image Processing, Xidian University of Science & Technology Press, (2003).

Google Scholar

[3] Yonghong Jia, A Method of Image Fusion to Enhance Spatial Resolution of Remotely Sensed Multispectral Images, Remote Sensing Technology and Application, vol. 12, No. 1, 1997, pp.19-23.

Google Scholar

[4] Kelu Li and Xia Wang, Information Fusion Method of Wavelet Transformation and Evaluation, Remote Sensing for Land & Resources, No. 4, 1999, pp.46-52.

Google Scholar

[5] Bingxuan Guo and Wenjin Wang, A digital camera digitization image rectification and mosaic algorithm based on grids, Science of Surveying and Mapping, vol. 32, No. 6, 2007, pp.143-145.

Google Scholar

[6] B. ZITOVA and J. FLUSSER, Image Registration Methods: a suner, Image and Vision compution, vol. 11, No. 21, 2003, pp.977-10000.

Google Scholar

[7] Johannes Leebmann and Dietmar Kunz, Fusion of Satellite Imgagery and Digital Topgraphic Database Based on Disjoint Objects, ISPRS, (2000).

Google Scholar

[8] Cao Wen, BiCheng Li and Yong Zhang, A remote sensing fusion method based on PCA transfoITI1 and wavelet packet transform, IEEE int. Conf. Neural Network & Signal Processing, vol. 12, 2003, pp.976-981.

DOI: 10.1109/icnnsp.2003.1280764

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