基于IDCT/DCT域的全相位数字滤波和图像内插
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摘要
本文将IDCT/DCT和全相位思想结合起来研究数字滤波和图像内插问题。
     本文把基于DFT、WHT、IDCT和DCT域的全相位滤波器(APDF)设计公式纳入到一个统一的框架中,在原有基于正交变换域APDF的设计公式的基础上得出了逆过渡矩阵G~(-1)的表达式。基于正交域的APDF设计方法可以统一起来,加窗方法和不加窗方法也能实现统一。这是通过过渡矩阵G和逆过渡矩阵G~(-1)实现的。在全相位滤波器设计理论的基础上,本文证明了基于IDCT/DCT域的APDF有零相位特性和子带互补特性。
     为了使基于IDCT/DCT域的APDF应用于实际,本文提出了三种快速实现结构,它们都能实时地调节滤波器频率响应,可用于列率域自适应滤波等需要实时改变滤波器响应的场合。在列率域直接实现结构中充分利用了全相位数据空间的时移特点和IDCT/DCT的递推性质,推导了由输入数据计算IDCT/DCT的递推算法,适用于连续数据流的场合。在时域等价结构和列率域等价结构中利用了过渡矩阵变换的表达式,列率域等价结构尤其适用于窄带滤波的场合。在一般情况下,时域等价结构的计算复杂度是最低的。
     为了改善直接基于IDCT/DCT域设计的APDF幅频特性,本文推导了IDCT/DCT域加窗APDF的设计公式。实验表明,无论在IDCT还是在DCT域,加凯塞窗都能使滤波器达到相对而言最好的幅频特性。在相同的频率采样点数的情况下,IDCT/DCT域加凯赛窗(β=3.2)APDF的幅频特性较频率采样法设计的FIR低通滤波器其通带、阻带更平坦,过渡带更窄。
     本文分析了基于IDCT域设计的菱形半带滤波器在应用于图像采样栅格转换时的内插特性。将一维傅立叶特性分析方法扩展到二维可以得出:在有预滤波的情况下,阶数较大的内插滤波器有较好的内插结果,滤波器很好地保持了边缘,但对图像的纹理部分内插效果稍差一些。
     作为DCT和全相位思想的结合,本文构造了基于DCT域的可分离内插函数,这是一族由余弦函数组成的内插核函数。为了实时应用,本文提出了查找表实现方法。实验表明,采用不同阶数的全相位DCT域可分离内插函数,都能够达到优于6×6的立方内插的图像质量。
     作为对内插器性能评价准则的研究,本文定义了连续消失矩曲线,它比传统的基于核函数的傅立叶特性评价方法能更好地解释实验数据。
IDCT/DCT and All Phase philosophy are integrated in research on digital filtering and image interpolation.
    Firstly, the design formula of all phase digital filter (APDF) based on DFT, WHT, IDCT and DCT are unified in one frame, and based on the existed theory of All Phase digital filtering, the formula of inverse transition matrix G~(-1) is derived. Then through the transition matrix G and the inverse transition matrix G~(-1), the design method of APDF based on DFT, WHT, IDCT and DCT is unified, also the design method of APDF and windowed APDF is unified.
    Secondly, to find the suited application, the characteristics of APDF based on IDCT/DCT are discussed. Zero-phase and sub-band filtering with complementary are two characters of APDF.
    Thirdly, to put the APDF based on IDCT/DCT into practice, three fast realizations are put forward. The amplitude frequency response characteristics of the filter all can be tuned in real time, and are especially suited in adaptive filtering where the response of filter is changing in real time. The recursive formula of the DCT/IDCT of all phase input data space is given in direct sequency field realization, and transition matrix is also given in time and sequency field equivalence realization. Direct sequency field recursive realization is especially suited in continuous data processing, and sequency field equivalence realization is especially suited in narrow band filtering. In most condition, the calculation complication of time field equivalence realization is the least.
    Fourthly, to improve the amplitude frequency response characteristics of APDF based on IDCT/DCT, the design formula of windowed APDF based on IDCT/DCT is derived. Experiments show that when using the window of Kaiser better amplitude frequency response characteristics of APDF are achieved. On the condition of using the same number of frequency samples, the amplitude frequency response characteristics of Kaiser windowed APDF based on IDCT/DCT is better than of FIR digital filter designed by frequency sampling method.
    Fifthly, the interpolation characters of diamond half band filter which designed based on IDCT applied in sampling structure conversion are discussed. Fourier analysis method is extended to 2-D. It shows that higher order can achieve better interpolation results, and the interpolator keeps the edges well but keeps the texture worse.
引文
[1] Alan V. Oppenheim, Ronald W. Schafer, John R. Buck. Discrete-time signal processing. 2nd ed., Upper Saddle River, N. J: Prence Hall, c1999
    [2] 胡广书,数字信号处理理论、算法与实现(第二版),北京:清华大学出版社,2003
    [3] 丁玉美,高西全,数字信号处理,西安:西安电子科技大学出版社,2000
    [4] Worayot Lertniphopphun. Unified design procedure for digital filters in the complex domain. Ph.D dissertation, Georgia Institute of Technology, 2001
    [5] 侯正信,王兆华,杨喜,全相位DFT数字滤波器的设与实现,电子学报,2003.4:539-542
    [6] E. Y. Remez. General computational methods of Chebyshev approximation. Atomic Energy Translation, no. 4491, 1957
    [7] N.阿罕麦德,K.R.罗,胡正名,陆传赉译,数字信号处理中的正交变换,北京:人民邮电出版社,1979
    [8] 王中德,快速变换的历史与现状,电子学报,1989,17(5):103-111
    [9] Z. Wang. Fast algorithms for the discrete W transform and for the discrete Fourier transform. IEEE Trans. Acoust., Speech, and Signal Process., Aug. 1984, vol. ASSP-32, Page(s):803-816
    [10] Ahmed N T, Natarajan, Rao K R. Discrete cosine transform. IEEE Trans. Comput., 1974, 23(Jan), Page(s):90-93
    [11] S. Srinivasan, A. K. Jain, T. M. Chin. Cosine transform block codec for images using TMS 32010. ISCAS86, Intl. Symp. Circuits and Systems, San Jose, CA, May5-7, 1986, Page(s):299-302
    [12] S. Acharya, D. R. Ahlgren. Implementing international standards on still-frame image compression systems. SPIE, Digital image processing applications, Los Angeles, CA, Jan. 1989, vol. 1075, Page(s):157-163
    [13] K. R. Rao, P. Yip. Discrete cosine transform, algorithms, advantages, applications. Academic Press, INC., 1990
    [14] Soo-Chang Pei, Meng-Ping Kao. Direct N-point DCT computation from three adjacent N/3-point DCT coefficients. Signal Processing Letters, IEEE, Volume 12, Issue 2, Feb. 2005, Page(s):89-92
    [15] Qionghai Dai, Xinjian Chen, Chuang Lin. Fast algorithms for multidimensional DCT-to-DCT computation between a block and its associated subblocks. Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Volume 53, Issue 8, Part 2, Aug. 2005, Page(s):3219-3225
    [16] Boussakta S., Alshibami H.O.. Fast algorithm for the 3-D DCT-II. Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Volume 52, Issue 4, April 2004, Page(s):992 - 1001
    
    [17] Chao Cheng, Parhi, K.K.. A novel systolic array structure for DCT. Circuits and Systems II: Express Briefs, IEEE Transactions on [see also Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on], Volume 52, Issue 7, July 2005, Page(s):366 - 369
    
    [18] Chunrong Zhang, Shibao Zheng, Chi Yuan, et. al.. A novel low-complexity and high-performance frame-skipping transcoder in DCT domain. Consumer Electronics, IEEE Transactions on, Volume 51, Issue 4, Nov. 2005, Page(s):1306 -1312
    
    [19] Joong-Yun Lee, Hyun Wook Park. A rate control algorithm for DCT-based video coding using simple rate estimation and linear source model. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 15, Issue 9, Sept. 2005, Page(s): 1077-1085
    
    [20] Ci Wang, Hong-Bin Yu, Meng Zheng. A DCT-based MPEG-2 transparent scrambling algorithm. Consumer Electronics, IEEE Transactions on, Volume 49, Issue 4, Nov. 2003, Page(s): 1208-1213
    
    [21] Xiao-Yuan Jing, Zhang, D.. A face and palmprint recognition approach based on discriminant DCT feature extraction. Systems, Man and Cybernetics, Part B, IEEE Transactions on, Volume 34, Issue 6, Dec. 2004, Page(s):2405-2415
    
    [22] Tachaphetpiboon S., Amornraksa T.. A fingerprint matching method using DCT features. Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on, Volume 1, 12-14 Oct. 2005, Page(s):461-464
    
    [23] Malvar H.S., Staelin, D.H.. The LOT: transform coding without block effects. IEEE Transactions on Signal Processing, 1989, 37(4), Page(s):553-559
    
    [24] Malvar H.S., Staelin, D.H.. Reduction of blocking effects in image coding with a lapped orthogonal transform. Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on, 11-14 April 1988, Page(s):781-784 vol.2
    
    [25] Malvar H.S., Duarte R.. Transform/subband coding of speech with the lapped orthogonal transform. Circuits and Systems, 1989, IEEE International Symposium on, 8-11 May 1989 vol.2, Page(s):1268-1271
    
    [26] Malvar H.S.. The LOT: a link between block transform coding and multirate filter banks. Intl. Symp. on Circuits and Systems, Espoo. Finland, June 7-9, 1988, Page(s):835-838
    
    [27] Tanaka T., Hirasawa Y, Yamashita Y. Variable-length lapped transforms with a combination of multiple synthesis filter banks for image coding. Image Processing, IEEE Transactions on, Volume 15, Issue 1, Jan. 2006, Page(s):81-88
    
    [28] Vaidyanathan P.P., Tsuhan Chen. Role of anticausal inverses in multirate filter-banks .II. The FIR case, factorizations, and biorthogonal lapped transforms. Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Volume 43, Issue 5, May 1995, Page(s):1103- 1115
    
    [29] See-May Phoong, Yuan-Pei Lin. Lapped Hadamard transforms and filter banks. Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on, Volume 6, 6-10 April 2003, Page(s):VI - 509-12
    
    [30] Ribeiro M.V, Deckmann S.M., Romano J.M.T.. Adaptive filtering, wavelet and lapped transforms for power quality problem detection and identification. Industrial Electronics, 2003. ISIE '03. 2003 IEEE International Symposium on, Volume 1, 9-11 June 2003 Page(s):301-306
    
    [31] Gautam J.K., Kumar A., Saxena R.. On the modified Bartlett-Hanningwindow (family). Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Volume 44, Issue 8, Aug. 1996 Page(s):2098-2102
    
    [32] Yeong Ho Ha, Pearce J.A.. A new window and comparison to standard windows. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, Volume 37, Issue 2, Feb. 1989 Page(s):298-301
    
    
    [33] Webster R.. A generalized hamming window. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, Volume 26, Issue 3, Jun 1978, Page(s):269-270
    
    [34] W. H. Chen, S. C. Fralick. Image enhancement using cosine transform filtering. Proc. of the Symp. on Current Math. Problems in Image Science, Monterey, CA, Nov. 1976, Page(s): 186-192
    
    [35] Martucci S.A.. Interpolation in the DST and DCT domains. Image Processing, 2000. Proceedings. 2000 International Conference on, Volume 2, 10-13 Sept. 2000 Page(s):339 - 342
    
    [36] K. N. Ngan, R. J. Clarke. Lowpass filtering in the cosine transform domain. Proc. International Conference of Communification, Seattle, WA, June 1980, Page(s):31.7.1-31.7.5
    
    [37] Changhoon Yim. An efficient method for DCT-domain separable symmetric 2-D linear filtering. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 14, Issue 4, April 2004, Page(s):517 - 521
    
    [38] Li D., Sethi I.K., Dimitrova N.. Fast DCT-domain filtering using frequency division processing. Multimedia Signal Processing, 2002 IEEE Workshop on, 9-11 Dec. 2002, Page(s):45-48
    [39] Chun-Shien Lu. Block DCT-based robust watermarking using side information extracted by mean filtering. Pattern Recognition, 2002. Proceedings. 16th International Conference on, Volume 2, 11-15 Aug. 2002, Page(s): 1001-1004
    [40] Martucci S.A., Mersereau R.M.. New Approaches To Block Filtering Of Images Using Symmetric Convolution And The DST Or DCT. Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on, 3-6 May 1993, Page(s):259-262
    [41] Hee-Yong Kim, Meyer R.. DCT domain filter for ATV down conversion. Consumer Electronics, IEEE Transactions on, Volume 43, Issue 4, Nov. 1997, Page(s): 1074-1078
    [42] Cao G., Li J., Zhang Y.. Half-pixel filter of MC-DCT compressed video. Electronics Letters, Volume 39, Issue 17, 21 Aug. 2003, Page(s): 1243-1245
    [43] Veiga A.C.P., Iano Y., Carrijo G.A.. A new adaptive filter structure: comparative study of NLMS, DST-LMS and DCT-LMS schemes applied to electromyographic signal modelling. Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on, Volume 2, 26-28 Aug. 2001, Page(s):555-558
    [44] Lin Z., Chen J., McCallum R.W.. Transform domain adaptive filtering using recursive running DCT and its application in surface recording of small intestine. Southeastcon '93, Proceedings., IEEE, 4-7 April 1993: 7Pages
    [45] Jie Liang, Tran T.D.. Further results on DCT-based linear phase paraunitary filter banks. Image Processing. 2002. Proceedings. 2002 International Conference on, Volume 2, 22-25 Sept. 2002, Page(s):Ⅱ-681-Ⅱ-684
    [46] 王兆华,H.Amiri,用二维重叠数字滤波器再生亚Nyquist取样信号,天津大学学报,1983,Vol(1):47-64
    [47] 侯正信,三种二维重叠数字滤波器的构造,天津大学学报,1985,Vol(1):29-49
    [48] 王兆华,二维列率重叠数字滤波器,电子学报,1985,13(6):13-18
    [49] 侯正信,全相位列率滤波器的设计和实现,信号处理,1985,Vol(17):132-135
    [50] 王兆华,二维抽取和内插,信号处理,1987,3(4):215-221
    [51] 王兆华,韩萍,曹继华,FOUREIER重叠数字滤波器,信号处理,2001,17(2):189-191
    [52] 侯正信,陈平,徐妮妮,全相位DFT数字滤波器的一种等价结构,信号处理,2004,20(3):272-276
    [53] 侯正信,徐妮妮,加窗全相位DFT数字滤波器,天津大学学报:自然科学与工程技术版.2005,38(5):448-454
    [54] 徐妮妮,侯正信,全相位半带滤波器及其应用,天津大学学报:自然科学与工程技术版.2005,38f3):206-211
    [55] 王兆华,侯正信,苏飞,全相位FFT频谱分析,通信学报.2003,24(B11):16-19
    [56] 苏飞,王兆华,一种新的带窗重叠自适应滤波器,电子与信息学报。2005,27(1):26-30
    [57] 苏飞,王兆华,基于变换域全相位FIR自适应滤波算法,电子学报.2004,32(11):1859-1863
    [58] 侯正信,离散余弦列率滤波器的设计及应用,天津大学学报.1999,32(3):324-328
    [59] Harris F J.. On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. IEEE, 1978, 66(Jan), Page(s):51-83
    [60] Proakis J G, Manolakis D G.. Introduction to Digital Signal Processing. New York: Macmillan Publishing Company, 1988
    [61] Wu-Sheng Lu, Andreas Antoniou. Two-Dimensional Digital Filters. MARCEL DEKKER, INC, 1992.
    [62] J. H. McClellan. The design of two-dimensional filters by transformations. Proc. 7th Annual Princeton Conf. Informaton Science and Systems, 1973, Page(s):247-251
    [63] C. Charalambous. The performance of an algorithm for minmax design of two-dimensional linear phase FIR digital filters. IEEE Trans. Circuits Syst. Oct. 1985. Vol.CAS-32, Page(s): 1016-1028
    [64] Mintzer F.. On half-band, third-band, and Nth-band FIR filters and their design. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, Volume 30, Issue 5, Oct 1982, Page(s):734-738
    [65] F. Mintzer, B. Liu. Aliasing error in the design of multirate filters. IEEE Trans. Acoust., Speech,Signal Processing, Feb. 1978, vol. ASSP-26, Page(s):76-88
    [66] Inui K., Yoshida T., Nishihara A., et. al.. A design method of 2-D maximally flat diamond-shaped half-band FIR filters with rectangular support of impulse response. Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on Volume 3, 3-6 May 1992, Page(s): 1440-1443
    [67] Chen T., Vaidyanathan P.P.. Recent developments in multidimensional multirate systems. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 3, Issue 2, April 1993, Page(s): 116-137
    [68] Siohan P.. 2-D FIR filter design for sampling structure conversion. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 1, Issue 4, Dec. 1991, Page(s):337-350
    [69] Yuan-pei Lin, Vaidyanathan P.P.. Theory and design of two-dimensional filter banks: a review. Multidimensional Systems and Signal Processing, 1996, 7, Page(s):263-330
    [70] Seo How Low, Yong Ching Li. A new approach to synthesize sharp 2D half-band filters. Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on [see also Circuits and Systems II: Express Briefs, IEEE Transactions on] Volume 46, Issue 8, Aug. 1999, Page(s): 1104-1110
    [71] Soo-Chang Pei, Peng-Hua Wang. Design of arbitrary cutoff 2-D diamond-shaped FIR filters using the Bernstein polynomial. Signal Processing Letters, IEEE, Volume 7, Issue 11, Nov. 2000, Page(s):310-313
    [72] Cooklev T., Yoshida T., Nishihara A.. Maximally flat half-band diamond-shaped FIR filters using the Bernstein polynomial. Circuits and Systems Ⅱ: Analog and Digital Signal Processing, IEEE Transactions on [see also Circuits and Systems II: Express Briefs, IEEE Transactions on], Volume 40, Issue 11, Nov. 1993, Page(s):749-751
    [73] Tay D.B.H.. Directional SVD: a new technique for designing 2-D diamond halfband filters and filter banks. Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on, Volume 2, 2-4 July 1997, Page(s):455-458
    [74] 侯正信,郭旭静,杨喜,基于全相位IDCT滤波器的内插重采样分层编码技术,电子与信息学报.2005,27(6):865-869
    [75] Lehmann T.M., Gonner C., Spitzer K.. Survey: interpolation methods in medical image processing. Medical Imaging, IEEE Transactions on, Volume 18, Issue 11, Nov. 1999, Page(s): 1049-1075
    [76] Mersereau R., Speake T.. The processing of periodically sampled multidimensional signals. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, Volume 31, Issue 1, Feb 1983, Page(s): 188-194
    [77] Jerri A.J.. The Shannon sampling theorem—Its various extensions and applications: A tutorial review. Proceedings of the IEEE, Volume 65, Issue 11, Nov. 1977, Page(s): 1565-1596
    [78] D. E. Dudgeon, R. M. Mersereau. Multidimansional Digital Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1984.
    [79] Dubois E.. The sampling and reconstruction of time-varying imagery with application in video systems. Proceedings of the IEEE, Volume 73, Issue 4, April 1985, Page(s):502-522
    [80] Siohan P.. 2-D FIR filter design for sampling structure conversion. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 1, Issue 4, Dec. 1991, Page(s):337-350
    [81] Carrai P., Cortelazzo G.M., Mian G.A.. Characteristics of minimax FIR filters for video interpolation/decimation. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 4, Issue 5, Oct. 1994, Page(s):453-467
    [82] Tonge G.. Image processing for higher definition television (Invited Paper). Circuits and Systems, IEEE Transactions on, Volume 34, Issue 11, Nov 1987, Page(s): 1385-1398
    [83] Schamel G.. Pre- and postfiltering of HDTV signals for sampling rate reduction and display up-conversion. Circuits and Systems, IEEE Transactions on, Volume 34, Issue 11, Nov 1987, Page(s): 1432-1439
    [84] 宗孔德,多抽样率信号处理,北京:清华大学出版社,1996
    [85] Ronald E. Crochiere, Lawrence E. Rabiner. Multirate Digital Signal Processing. Prentice-Hall, Inc., 1983
    [86] 李衍达,常迥,信号重构理论及其应用,北京:清华大学出版社,1991
    [87] Guofang Tu, Can Zhang, Jiankang Wu, et. al.. Remote sensing image processing using wavelet fractal interpolation. Communications, Circuits and Systems, 2005. Proceedings. 2005 International Conference on, May 2005, Volume 2, Page(s):27-30
    [88] Jun Xin, Ming-Ting Sun, Byung-Sun Choi, et. al.. An HDTV-to-SDTV spatial transcoder. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 12, Issue 11, Nov. 2002, Page(s):998-1008
    [89] Yuh-Ruey Lee, Chia-Wen Lin. DCT-Domain Spatial Transcoding Using Generalized DCT Decimation. Image Processing, 2005.ICIP 2005.IEEE International Conference on, Volume 1, 11-14 Sept. 2005, Page(s):821-824
    [90] G. Wahba. A polynominal algorithm for density estimation. Ann. Math. Statist., 1971, vol. 42, Page(s): 1870-1886
    [91] Horowitz L.. The effects of spline interpolation on power spectral density. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, Volume 22, Issue 1, Feb 1974, Page(s):22-27
    [92] Hsieh Hou, Andrews H.. Cubic splines for image interpolation and digital filtering. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, Volume 26, Issue 6, Dec 1978, Page(s): 508-517
    [93] Khriji L., Gabbouj M., Marsi $., et. al.. Nonlinear interpolators for old movie restoration. Image Processing, 1999. ICIP99. Proceedings. 1999 International Conference on, Volume 3, 24-28 Oct. 1999, Page(s): 169-173
    [94] Appledorn C.R.. A new approach to the interpolation of sampled data. Medical Imaging, IEEE Transactions on, Volume 15, Issue 3, June 1996, Page(s):369-376
    [95] O. D. Evans, Y Kim. Efficient implementation of image warping on a multimedia processor. Real-Time Imag., 1998, vol. 4, Page(s):417-428
    
    [96] M. Unser, A. Aldroubi, M. Eden. Fast B-splines transforms for continuous image representation and interpolation. IEEE Trans. Pattern Anal. Machine Intell., 1991, vol. 13, Page(s):277-285
    
    [97] R. R. Schultz, R. L. Stevenson. A Bayesian approach to image expansion for improved definition. IEEE Trans. Image Processing, Mar. 1994, vol. 3, no. 3, Page(s):233-242
    
    [98] Xin Li, Orchard M.T.. New edge-directed interpolation, Image Processing. IEEE Transactions on, Volume 10, Issue 10, Oct. 2001, Page(s): 1521-1527
    
    [99] Ates H.F., Orchard. Image interpolation using wavelet-based contour estimation. M.T.; Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on, Volume 1, 6-9 July 2003, Page(s):I - 101-4
    
    [100] Hiep Quang Luong, de Smet P., Philips W.. Image Interpolation Using Constrained Adaptive Contrast Enhancement Techniques. Image Processing, 2005. ICIP 2005. IEEE International Conference on Volume 2, 11-14 Sept. 2005, Page(s):998-1001
    
    [101] Shujun Fu. Adaptive Image Interpolation Using Coupled Bidirectional Flow. Image Processing, 2005. ICIP 2005. IEEE International Conference on, Volume 2, 11-14 Sept. 2005, Page(s):970-973
    
    [102] Sugita H., Taguchi A.. Chrominance signal interpolation of YUV4:2:0 format color images. Nonlinear Signal and Image Processing, 2005. NSIP 2005. Abstracts. IEEE-Eurasip, 18-20 May 2005, Page(s):22
    
    [103] G. J. Grevera, J. K. Udupa, Y. Miki. A task-specific evaluation of three-dimensional image interpolation techniques. IEEE Trans. Med. Imag. Feb. 1999, Vol. 18, Page(s):137-143
    
    [104] Tai-Wai Chan, Au O.C., Tak-Song Chong, et. al. A novel content-adaptive interpolation. Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on, 23-26 May 2005, Vol. 6, Page(s):6260 -6263
    
    [105] Toronto N., Ventura D., Morse B.S.. Edge inference for image interpolation. Neural Networks, 2005. IJCNN'05. Proceedings. 2005 IEEE International Joint Conference on, Volume 3, 31 July-4 Aug. 2005, Page(s):1782- 1787
    
    [106] Guofang Tu, Can Zhang, Jiankang Wu, et. al.. Remote sensing image processing using wavelet fractal interpolation. Communications, Circuits and Systems, 2005. Proceedings. 2005 International Conference on, Volume 2, 27-30 May 2005, Page(s): 2 vol. (xviii+1411)
    
    [107] Blu T., Thevenaz P., Unser M.. Linear interpolation revitalized. Image Processing, IEEE Transactions on, Volume 13, Issue 5, May 2004, Page(s):710-719
    
    [108] Unser, M.. Sampling-50 years after Shannon. Proceedings of the IEEE, Volume 88, Issue 4, April 2000, Page(s):569-587
    
    [109] R. G. Keys. Cubic convlution interpolation for digital image processing. IEEE Trans. Acoust, Speech, Signal Processing, 1981, vol. ASSP-29, no. 6, Page(s): 1153-1160
    
    [110] J. A. Parker, R. V. Kenyon, D. E. Troxel. Comparison of interpolating methods for image resampling. IEEE Trans. Med. Imag., 1983, vol. MI-2, Page(s):31-39
    
    [111] E. Maeland. On the comparison of interpolation methods. IEEE Trans. Med. Imag., 1988, vol. MI-7, Page(s):213-217
    
    [112] Zhen Ye, Jasjit Suri, Yajie Sun, et. al.. Four Image Interpolation Techniques for Ultrasound Breast Phantom Data Acquired Using Fischer's Full Field Digital Mammography and Ultrasound System (FFDMUS): A Comparative Approach. Image Processing, 2005. ICIP 2005. IEEE International Conference on, Volume 2, 11-14 Sept. 2005, Page(s): 1238-1241
    
    [113] K. N. Ngan. Experiments on two-dimensional decimation in time and orthogonal transform domains. Signal Processing, 1986, vol. 11, Page(s):249-263
    
    [114] J. M. Adant, P. Delogne, E. Lasker, et. al.. Block operations in digital signal processing with application to TV coding. Signal Processing, Dec. 1987, vol.13, Page(s):385-397
    
    [115] K. H. Tzou, T. C. Chen. An embedded HDTV coding scheme using the decimation in frequency domain method. PCS88, Picture Coding Symp., Torino, Italy, Sept. 1988, Page(s):14.4-1 through 14.4-2
    
    [116] K. H. Tzou. Compatible HDTV Coding for broadband ISDN. GLOBECOM 88, Global Commun., Conf., Hollywood, FL, Nov. 1988, Page(s):743-749
    
    [117] Lee C.W., Ko H.. Arbitrary resizing of images in DCT domain using lapped transforms. Electronics Letters, Volume 41, Issue 24, 24 Nov. 2005, Page(s): 1319-1320
    
    [118] Mukherjee J., Mitra S.K.. Arbitrary resizing of images in DCT space. Vision, Image and Signal Processing, IEE Proceedings-, Volume 152, Issue 2, 8 April 2005, Page(s): 155-164
    
    [119] YoungSeo Park, HyunWook Park. Design and analysis of an image resizing filter in the block-DCT domain. Circuits and Systems for Video Technology, IEEE Transactions on, Volume 14, Issue 2, Feb. 2004, Page(s):274-279
    
    [120] HyunWook Park, YoungSeo Park, Seung-Kyun Oh. L/M-fold image resizing in block-DCT domain using symmetric convolution. Image Processing, IEEE Transactions on, Volume 12, Issue 9, Sept. 2003, Page(s): 1016-1034
    [121] 张荣福,周源华,多向变长区间的空域内插错误掩盖技术,电子学报,2004,32(7):1200-1202
    [122] 李红松,侯朝桢,基于形态学和自适应模糊内插的红外图像放大,计算机辅助设计与图形学学报,2003,15(9):1079-1083
    [123] 江铭炎,李兴江,袁东风,2*图像插值放大处理的方法,山东大学学报:理学版,2003,38(3):79-81
    [124] 刘晓松,杨新等,基于协方差特征的图像内插方法的研究,信号处理,2002,18(3):216-219
    [125] P. E. Danielsson, M. Hammerin. High accuracy rotation of images. Department of Electrical Engineering, Linkoping University, Sweden, Tech. Rep. LiTH-ISY-I-11521990
    [126] Tamhankar, A.; Rao, K.R.; An overview of H.264/MPEG-4 Part 10, Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on, Volume 1, 2-5 July 2003 Page(s): 1-51 vol.1
    [127] P. E. Danielsson, M. Hammerin. Note: High accuracy rotation of images. CVGIP: Graph. Model Image Processing, 1992, vol. 54, no. 4, Page(s):340-344
    [128] R. Booth. Inner loops: A sourcebook for fast 32-bit software development. Reading, MA: Addison-Wesley Developers, 1997
    [129] Dale B., Wendt M., Duerk J.L.. A rapid look-up table method for reconstructing MR images from arbitrary K-space trajectories. Medical Imaging, IEEE Transactions on, Volume 20, Issue 3, March 2001, Page(s):207-217
    [130] Vrhel M.J.. Indexing of multidimensional lookup tables in embedded systems, Image Processing, IEEE Transactions on, Volume 13, Issue 10, Oct. 2004, Page(s): 1319-1326
    [131] Rafael C. Gonzalez, Richard E. Woods, Digital image processing, second edition, 数字图像处理,阮宇智等译,北京:电子工业出版社,2003
    [132] http://www.imageprocessingplace.com/DIP/dip_image_dabases/image_databases.htm
    [133] Xin Li, Orchard M.T.. New edge-directed interpolation. Image Processing, IEEE Transactions on, Volume 10, Issue 10, Oct. 2001, Page(s):1521-1527
    [134] T. Lehmann, A. Sovakar, W. Schmitt, et. al.. A comparison of similarty measures for digital subtraction radiography. Comp. Biol. Med., 1997, vol. 27, no. 2, Page(s):251-257
    [135] 余兆明,余智,数字电视原理,北京:人民邮电出版社,2004
    [136] 俞斯乐等,电视原理,北京:国防工业出版社,2005
    [137] 杨宇红,刘凌志,曾志杰等,基于二维多相位内插器的视频格式转 换方法及其IC实现,集成电路应用,2004(1):45-47
    [138] 柴屹华,葛晨阳,冯华,一种视频格式转换电路的设计与实现,电视技术,2004(1):67-69
    [139] 冯涛,谢文录,一种视频格式转换电路的设计与实现,微电子学,2000,30(4):276-278
    [140] 田捷,包尚联,周明全,医学影像处理与分析,北京:电子工业出版社,2003
    [141] 罗述谦,周果宏,医学图象处理与分析,北京:科学出版社,2003
    [142] Unser M., Thevenaz P., Yaroslavsky L.. Convolution-based interpolation for fast, high-quality rotation of images. Image Processing, IEEE Transactions on, Volume 4, Issue 10, Oct. 1995, Page(s):1371-1381
    [143] Mallat,S. G. (Stéphane G.). A wavelet tour of signal processing. China Machine Press, 2003

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