一种改进的低成本自适应双三次插值算法及VLSI实现

庞志勇; 谭洪舟; 陈弟虎

doi:10.3724/SP.J.1004.2013.00407

一种改进的低成本自适应双三次插值算法及VLSI实现

doi: 10.3724/SP.J.1004.2013.00407

1.
中山大学信息科学与技术学院广州 510275;
2.
中山大学物理科学与工程技术学院广州 510275

详细信息

通讯作者:
谭洪舟

计量
- 文章访问数: 1871
- HTML全文浏览量: 68
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- 被引次数: 0
出版历程
- 收稿日期: 2012-06-14
- 修回日期: 2012-11-06
- 刊出日期: 2013-04-20

An Improved Low-cost Adaptive Bicubic Interpolation Arithmetic and VLSI Implementation

1.
School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275;
2.
School of Physics and Engineering, Sun Yat-sen University, Guangzhou 510275

摘要

摘要: 提出了一种新型图像缩放算法, 由自适应锐化滤波器和双三次插值组成.锐化滤波器减轻了双三次插值产生的模糊效应, 自适应技术进一步提升了图像缩放质量. 为了减少运算量, 提出前置滤波和后置滤波技术.与其他几种算法相比较, 本文的算法在主观和客观评价方面都明显胜出. 为了实现实时低成本设计, 提出了一种该算法的流水线超大规模集成电路 (Very large scale integration, VLSI)架构. 在现场可编程逻辑器件 (Field-programmable gate array, FPGA)上实现, 占用695个逻辑单元(Logic elements, LEs), 时钟频率达到165MHz, 减少了36.8%逻辑单元, 图像质量平均峰值信噪比 (Peak signal-to-noise ratio, PSNR)提升了1.5dB.
- 双三次插值 /
- 图像缩放 /
- 拉普拉斯变换 /
- 自适应 /
- 超大规模集成电路 /
- 现场可编程逻辑器件
Abstract: A novel scaling algorithm is proposed which consists of a bicubic interpolation and an adaptive sharpening filter. The proposed sharpening filter is added to mitigate the blurring effects existing in bicubic interpolation methods. We also verify the scaling quality by taking into account the adaptive technique. Furthermore, we present both the procedures of filtering before and after interpolation in order to reduce the overall computing time. Compared with the previous reported techniques, our method performs better in terms of both quantitative evaluation and visual quality. To achieve the goal of real time and low cost, we describe a pipelined VLSI architecture for the implementation of the algorithm. The very large scale integration (VLSI) architecture of our image scaling processor contains 695 logic elements (LEs) and yields a processing rate of about 165MHz by using field-programmable gate array (FPGA) technology. Our proposed architecture reduces the amount of gates by 36.8% while achieves an average peak signal-to-noise ratio (PSNR) increase of 1.5dB in image quality.
- Bicubic interpolation /
- image scaling /
- Laplacian transform /
- adaptive /
- very large scale integration (VLSI) /
- field-programmable gate array (FPGA)

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参考文献(1)

[1]

Chen S L, Huang H Y, Luo C H. A low-cost high-quality adaptive scalar for real-time multimedia applications. IEEE Transactions on Circuits and Systems for Video Techology, 2011, 21(11): 1600-1611[2] Hwang I, Kang B, Gerard J. High-resolution image scaler using interpolation filter for multimedia video applications. IEEE Transactions on Consumer Electronics, 1997, 43(3): 813-818[3] Doswald D, Hafliger J, Blessing P, Felber N, Niederer P, Fichtner W. A 30-frames/s megapixel real-time CMOS image processor. IEEE Journal of Solid-State Circuits, 2000, 35(11): 1732-1743[4] Lehmann T M, Gonner C, Spitzer K. Addendum: B-spline interpolation in medical image processing. IEEE Transactions on Medical Imaging, 2001, 20(7): 660-665[5] Battiato S, Gallo G, Stanco F. A locally adaptive zooming algorithm for digital images. Image and Vision Computing, 2002, 20(11): 805-812[6] Chen M J, Huang C H, Lee W L. A fast edge-oriented algorithm for image interpolation. Image and Vision Computing, 2005, 23(9): 791-798[7] Shi J Z, Reichenbach S E. Image interpolation by two-dimensional parametric cubic convolution. IEEE Transactions on Image Processing, 2006, 15(7): 1857-1870[8] Chen J L, Chang J Y, Shieh K L. 2-D discrete signal interpolation and its image resampling application using fuzzy rule-based inference. Fuzzy Sets and Systems, 2000, 114(2): 225-238[9] Blu T, Thevenaz P, Unser M. Linear interpolation revitalized. IEEE Transactions on Image Processing, 2004, 13(5): 710-719[10] Meijering E H W, Zuiderveld K J, Viergever M A. Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels. IEEE Transactions on Image Processings, 1999, 8(2): 192-201[11] Caselles V, Morel J M, Sbert C. An axiomatic approach to image interpolation. IEEE Transactions on Image Processing, 1998, 7(3): 376-386[12] Jensen K, Anastassiou D. Subpixel edge localization and the interpolation of still images. IEEE Transactions on Image Processing, 1995, 4(3): 285-295[13] Keys R G. Cubic convolution interpolation for digital image processing. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, 29(6): 1153-1160[14] Eadie D, Shevlin F P, Nisbet A. Correction of geometric image distortion using FPGAs. In: Proceedings of SPIE Conference on Optical Metrology, Imaging and Machine Vision. Galway, Ireland, 2002, 4877: 28-37[15] Hudson R D, Lehn D I, Athanas P M. A run-time reconfigurable engine for image interpolation. In: Proceedings of the 1998 IEEE Symposium on FPGAs for Custom Configurable Computing Machines. Napa, California: IEEE, 1998. 88-95[16] Skarabot A, Ramponi G, Buriola L. FPGA architecture for a videowall image processor. In: Proceedings of the 2001 SPIE International Symposium on Electronic Imaging 2001. San Jose, California, 2001[17] Gribbon K T, Johnston C T, Bailey D G. A real-time FPGA implementation of a barrel correction algorithm with bilinear interpolation. In: Proceedings of the 2003 Image and Vision Computing New Zealand. Palmerston North, New Zealand, 2003. 408-413[18] Lin C C, Sheu M H, Liaw C, Chiang H K. Fast first-order polynomials convolution interpolation for real-time digital image reconstruction. IEEE Transactions on Circuits and Systems for Video Technology, 2010, 20(9): 1260-1264[19] Andrews S, Harris F. Polynomial approximations of interpolants. In: Proceedings of the 33rd Asilomar Conference on Signals, Systems, and Computers. Pacific Grove, CA, USA: IEEE, 1999. 1: 447-451[20] Shezaf N, Abramov-Segal H, Sutskover I, Bar-Sella R. Adaptive low complexity algorithm for image zooming at fractional scaling ratio. In: Proceedings of the 21st IEEE Convention of the Electrical and Electronic Engineers. Tel Aviv, Israel: IEEE, 2000. 253-256[21] Kim H C, Kwon B H, Choi M R. An image interpolator with image improvement for LCD controller. IEEE Transactions on Consumer Electronics, 2001, 47(2): 263-271[22] Lin C C, Sheu M H, Chiang H K, Tsai W K, Wu Z C. Real-time FPGA architecture of extended linear convolution for digital image scaling. In: Proceedings of the 2008 IEEE International Conference on ICECE Technology. Taipei, China: IEEE, 2008. 381-384[23] Lin C C, Sheu M H, Chiang H K, Liaw C, Wu Z C. The efficient VLSI design of BI-CUBIC convolution interpolation for digital image processing. In: Proceedings of the 2008 IEEE International Symposium on Circuits and Systems. Seattle, WA: IEEE, 2008. 480-483[24] Nuno-Maganda M A, Arias-Estrada M O. Real-time FPGA-based architecture for bicubic interpolation: an application for digital image scaling. In: Proceedings of the 2005 IEEE International Conference on Reconfigurable Computing and FPGAs. Puebla City: IEEE, 2005[25] Ridella S, Rovetta S, Zunino R. IAVQ-interval-arithmetic vector quantization for image compression. IEEE Transactions on Circuits and Systems Part II: Analog and Digital Signal Processing, 2000, 47(12): 1378-1390[26] Shi B E, Chua L O. Resistive grid image filtering: input/output analysis via the CNN framework. IEEE Transactions on Circuits and Systems, Part I: Fundamental Theory and Applications, 1992, 39(7): 531-548[27] Schaller S, Wildberger J E, Raupach R, Niethammer M, Klingenbeck-Regn K, Flohr T. Spatial domain filtering for fast modification of the tradeoff between image sharpness and pixel noise in computed tomography. IEEE Transactions on Medical Imaging, 2003, 22(7): 846-853[28] Wang Q, Ward R. A new edge-directed image expansion scheme. In: Proceedings of the 2001 International Conference on Image Processing. Thessaloniki: IEEE, 2001. 3: 899-902[29] Goodman D. Some stability properties of two-dimensional linear shift-invariant digital filters. IEEE Transactions on Circuits and Systems, 1977, 24(4): 201-208[30] Chang H, Aggarwal J K. Design of two-dimensional semicasual recursive filters. IEEE Transactions on Circuits and Systems, 1978, 25(12): 1051-1059

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