Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8809
標題: 基於反覆投射與次像素移動估計之視訊解析度增強技術
Video resolution enhancement technique based on iterative back-projection and sub-pixel motion estimation
作者: 蘇明政
Su, Ming-Cheng
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: [1] 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. [2] 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. [3] 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. [4] 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. [5] C.-S. Chuah, and J.-J. Leou, “An adaptive image interpolation algorithm for image/video processing,” Pattern Recognition 34 (2001) 2383-2393. [6] T. S. Huang and R. Y. Tsai, “Multi-frame image restoration and registration,” Adv. Comput. Vis. Image Process. 1 (1984) 317-339. [7] N. K. Bose, H. C. Kim, and H. M. Valenzuela, “Recursive implementation of total least squares algorithm for image reconstruction from noisy undersampled multiframes,” Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1993, pp. 269-272. [8] S. Borman and R. L. Stevenson, “Super-resolution from image sequences - a review,” Proc. Midwest Symp. Circuits and Systems, 1998. [9] M. Elad and Y. Hel-Or, “A fast super-resolution reconstruction algorithm for pure translational motion and common space invariant blur,” IEEE Trans. Image Processing 10 (2001) 1187-1193. [10] M. C. Chiang and T. E. Boulte, “Efficient super-resolution via image warping,” Image Vis. Comput. 18 (2000) 761-771. [11] S. Peleg, D. Keren, and L. Schweitzer, “Improving image resolution using subpixel motion,” CVGIP: Graph. Models Image Process. 54 (1992) 181-186. [12] M. Irani and S. Peleg, “Improving resolution by image registration,” CVGIP: Graph. Models Image Process. 53 (1991) 231-239. [13] H. Ur and D. Gross, “Improved resolution from sub-pixel shifted pictures,” CVGIP: Graph. Models Image Process. 54 (1992) 181-186. [14] C. B. Atkins, C. A. Bouman, and J. P. Allebach, “Tree based resolution synthesis,” Proc. Conf. on Image Processing, Image Quality, Image Capture Systems, 1999, pp. 405-410. [15] F. M. Candocia and J. C. principle, “Super-resolution of images based on local correlation,” IEEE Trans. Neural Network 10 (1999) 372-380. [16] X. Li and M. T. Orchard, “New edge-directed interpolation,” IEEE Trans. Image Processing 10 (2001)1521-1527. [17] Y. Wang, J. Ostermann, and Ya-Q. Zhang, Video Processing and Communications, Prentice Hall, 2002. [18] M. Sonka, V. Hlavac, and R. Boyle, Image processing, analysis, and machine Vision, Thomson, 2008. [19] N. Damera-Venkata, T.-D. Kite, W.-S. Geisler, B.-L. Evans, and A.- C. Bovik, “Image quality assessment based on a degradation model,” IEEE Trans. Image Processing 9 (2000) 636-650. [20] S. D. Bayraker and R. M. Mersereau, “A new method for directional image interpolation,” Proc. IEEE International Conf. on Acoustics, Speech, and Signal Process., 1995, pp. 2383-2386. [21] S. P. Kim and W.Y. Su, “Recursive high-resolution reconstruction of blurred multiframe images,” IEEE Trans. Image Process. 2 (1993) 534-539. [22] W. Y. Su and S. P. Kim, “High-resolution restoration of dynamic image sequences,” Int. J. Imaging Systems Technol. 5 (1994) 330-339. [23] T. Madhusudhan and A. R. Pais, “Generation of super-resolution video from low resolution video sequences: a novel approach,” Proc. International Conf. Computational Intelligence and Multimedia Applications, 2007, pp. 255-232. [24] S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, “Advances and challenges in super-resolution,” Wiley Periodicals 14 (2004) 47-57. [25] W.-N. Lie and C.-M. Lai, “News video summarization based on spatial and motion feature analysis,” Proc. Pacific-Rim Conference on Multimedia, 2004, pp. 246-255. [26] W. T. Freeman, T. R. Jones, and E. C. Pasztor, “Example-based super-resolution,” IEEE Computer Graphics and Applications 22 (2002) 56-65. [27] M.-Sui Lee, M.-Yin Shen, and C.-C. Jay Kuo, “A content-adaptive up-sampling technique for image resolution enhancement,” Proc. Third International Conf. Intelligent Information Hiding and Multimedia Signal Processing, 2007, pp. 26-28. [28] A. Temizel and T. Vlachos, “Wavelet domain image resolution enhancement,” IEE Proc.-Vis. Image Signal Process. 153 (2006) 25-30. [29] Y. Piao, L.-H. Shin, and H. W. Park, “Image resolution enhancement using inter-subband correlation in wavelet domain,” Proc. IEEE International on Image Processing, 2007, pp. I-445 - I-448. [30] H. He and L. P. Kondi, “An image super-resolution algorithm for different error levels per frame,” IEEE Trans. Image Processing 15 (2006) 592-603. [31] G. M. Callico, R. P. Llopis, S. Lopez, J.F. Lopez, A. Munez, R. Sethuraman, and R. Sarmiento, “Low-cost super-resolution algorithms implementation over a HW/SW video compression platform,” EURASIP Journal on Applied Signal Processing 2006 (2006) 1-29. [32] S. Chaudhuri and D. R. Taur, “High resolution slow motion sequencing,” IEEE Signal Processing Magazine 22 (2005) 16-24. [33] Y. Cheng, X. Fang, J. Hou, and S. Yu, “Multiframe super-resolution reconstruction based on cycle-spinning,” Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2007, pp. I-557-I-560. [34] L. Zhou, B. Zheng, A. Wei, B. Geller, and J. Cui, “A robust resolution-enhancement scheme for video transmission over mobile ad-hoc networks,” IEEE Trans. Broadcasting 54 (2008) 312-321. [35] R. Hardie, “A fast super-resolution algorithm using an adaptive wiener filter,” IEEE Trans. Image Process. 16 (2007) 2953-2964. [36] C.-T. Lin, K.-W. Fan, H.-C. Pu, S.-M. Lu, and S.-F. Liang, “An HVS-direction neural-network-based image resolution enhancement scheme for image resizing,” IEEE Trans. Fuzzy Systems 15 (2007) 605-615. [37] 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: 
在本文中,我們提出了一個適應圖像放大方案基於反覆投射。初步估計每個放大圖像可以單獨創建的空間和時間域通過使用次像素插值和次像素運動估計。然後,根據初步估計和圖像內容,圖像重建方法利用一種改進的反覆投射技術,融合成一個放大的圖像。最後,低通濾波器作為一個後處理應用,以減少塊效應在重建高分辨率的圖像。我們的實驗結果是使用PSNR和NQM來評估影像的品質。

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.
URI: http://hdl.handle.net/11455/8809
其他識別: U0005-1205201016404300
Appears in Collections:電機工程學系所

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.