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Video resolution enhancement technique based on iterative back-projection and sub-pixel motion estimation
|關鍵字:||resolution enhancement;像素增強;super-resolution;iterative back projection;超解析;反覆投射||出版社:||電機工程學系所||引用:|| S. C. Park, M. K. Park, and M. G. Kang, “Super-resolution image reconstruction_ a technical overview,” IEEE Signal Process. Magazine 20 (2003) 21-36.  H.-H. Wu, M.-H. Sheu, and T.-Y. Yang, “Directional Interpolation for Field-Sequential Stereoscopic Video,” Proc. IEEE International Symposium on Circuits and Systems, 2005, pp. 2879-2882.  M.-J. Chen, C.-H. Huang, and W.-L. Lee, “A fast edge-oriented algorithm for image interpolation,” Image and Vision Computing 23 (2005) 791-798.  L. Rodrigues, D. Leandro Borges, and L. Marcos Gonalves, “A locally adaptive edge-preserving algorithm for image interpolation,” Proc. IEEE Proceedings XV Brazilian Symposium on Computer Graphics and Image Proces., 2002, pp. 300-305.  C.-S. Chuah, and J.-J. Leou, “An adaptive image interpolation algorithm for image/video processing,” Pattern Recognition 34 (2001) 2383-2393.  T. S. Huang and R. Y. 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Liang, “An HVS-direction neural-network-based image resolution enhancement scheme for image resizing,” IEEE Trans. Fuzzy Systems 15 (2007) 605-615.  V. Bannore and L. Swierkowski, “Fast Iterative Super-Resolution for Image Sequences,” 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications, 2007, pp. 286-293.||摘要:||
In this paper, we propose an adaptive image enlargement scheme based on iterative back-projection. Initial estimates of each enlarged image can be individually created from the spatial and temporal domains by using sub-pixel interpolation and sub-pixel motion estimation. Then, based on the initial estimates and image content, reconstructed images are derived by using a modified iterative back-projection technique and fused into a enlarged image. Finally, a low-pass filter as a post-processing is applied to reduce the blocking artifacts in the reconstructed high-resolution images. Our experiment results demonstrate that, in terms of PSNR and NQM, the proposed scheme is superior to existing methods.
|Appears in Collections:||電機工程學系所|
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