A fast algorithm for YCbCr to perception color model conversion based on fixed-point DSP
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  • 作者:Yifang Liu ; Yunfeng Zhang ; Caiming Zhang
  • 关键词:Real ; time video system ; Color space conversion ; Perception color model ; Video quality assessment
  • 刊名:Multimedia Tools and Applications
  • 出版年:2015
  • 出版时间:July 2015
  • 年:2015
  • 卷:74
  • 期:15
  • 页码:6041-6067
  • 全文大小:3,755 KB
  • 参考文献:1.Bensaali F, Amira A, Bouridane A (2004, May) An efficient architecture for color space conversion using distributed arithmetic. IEEE International Symposium Circuits and Systems vol 2 pp 265鈥?68. doi:10.鈥?109/鈥婭SCAS.鈥?004.鈥?329259
    2.Briggs D (2012) The dimensions of colour. Julian Ashton Art School Sydney, Sydney
    3.Ford A, Roberts A (1998) Colour space conversions. Westminster University, London
    4.Gonzalez RC, Woods RE (2007) Digital image processing, 3rd edn. Prentice-Hall, Upper Saddle River
    5.Han JZ, Ren G, Han CD (2000) A novel fixed-point FFT algorithm on embedded digital signal processing systems. WCCC-ICSP 2000. 5th International Conference on Signal Processing Proceedings vol 1 pp 48鈥?3. doi:10.鈥?109/鈥婭COSP.鈥?000.鈥?94441
    6.Inacio C, Ombres D (1996) The DSP decision: fixed point or floating? IEEE Spectr 33(9):72鈥?4. doi:10.鈥?109/鈥?.鈥?35397 View Article
    7.ITU-R Recommendation BT.601-5 (1995) Studio encoding parameters of digital television for standard 4:3 and wide-screen 16:9 aspect ratios
    8.ITU-R Recommendation BT.601-7 (2011) Studio encoding parameters of digital television for standard 4:3 and wide-screen 16:9 aspect ratios
    9.Lee DJ (2000, Oct) Color space conversion for linear color grading. Proc SPIE vol 4197 pp 358鈥?66. doi:10.鈥?117/鈥?2.鈥?03782
    10.Li JF, Wang KQ, Zhang D (2002) A new equation of saturation in RGB-to-HIS conversion for more rapidity of computing. Proceeding of the First International Conferences on Machine Learning and Cybernetics vol 3 pp 1493鈥?497
    11.Li茅vin M, Luthon F (2004) Nonlinear color space and spatiotemporal MRF for hierarchical segmentation of face features in video. IEEE Trans Image Proc 13(1):1鈥?. doi:10.鈥?109/鈥婽IP.鈥?003.鈥?18013 View Article
    12.Liu YF, Liu ZG, Wang YF (2012) Fast algorithm for YCbCr to HSV conversion based on fixed-point DSP. Appl Res Comput 29(2):741鈥?43
    13.Rasras RJ, Emary IMME, Skopin DE (2007) Developing a new color model for image analysis and processing. Comput Sci Inf Syst 4(1):43鈥?6View Article
    14.Sarifuddin M, Missaoui R (2005) A new perceptually uniform color space with associated color similarity measure for content-based image and video retrieval. ACM SIGIR 2005 Workshop on Multimedia Information Retrieval pp 1鈥?, Salvador, Brazil
    15.Semary N, Hadhoud M, Abdulkader H, Abbas A (2013) Novel compression system for hue-saturation and intensity color space. Int Arab J Inform Technol 10(6):546鈥?52
    16.Simth AR (1978) Color gamut transform pairs. ACM SIGGRAPH the 5th annual conference on Computer graphics and interactive techniques vol 12 no 3 pp 12鈥?9, New York, NY, USA. doi:10.鈥?145/鈥?00248.鈥?07361
    17.Stokman H, Gevers T (2007) Selection and fusion of color models for image feature detection. IEEE Trans Pattern Anal Mach Intell 29(3):371鈥?81. doi:10.鈥?109/鈥婽PAMI.鈥?007.鈥?8 View Article MATH
    18.Sural S, Qian G, Pramanik S (2002, Sep) Segmentation and histogram generation using the HSV color space for image retrieval. Proc. IEEE International Conference Image Processing vol 2 pp 589鈥?92. doi:10.鈥?109/鈥婭CIP.鈥?002.鈥?040019
    19.Tiwari N, Reddy SC (2010, Feb) Performance measurement of a fully pipelined JPEG codec on emulation platform. Advance Computing Conference pp 167鈥?71, Patiala, India. doi:10.鈥?109/鈥婭ADCC.鈥?010.鈥?423018
    20.Wang Z, Bovik AC, Lu LG (2002) Why is image quality assessment so difficult? 2002 I.E. International Conference on Acoustics, Speech and Signal Processing vol 4 pp 3313鈥?316, Orlando, FL, USA. doi:10.鈥?109/鈥婭CASSP.鈥?002.鈥?745362
    21.Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):1鈥?4. doi:10.鈥?109/鈥婽IP.鈥?003.鈥?19861 View Article
    22.Wang SJ, Jeng DL, Tsai MT (2009) Early fire detection method in video for vessels. J Syst Softw 82(4):656鈥?67. doi:10.鈥?016/鈥媕.鈥媕ss.鈥?008.鈥?9.鈥?25 View Article
    23.Webb JLH (2001) Efficient table access for reversible variable-length decoding. IEEE Trans Circ Syst Video Technol 11(8):981鈥?85. doi:10.鈥?109/鈥?6.鈥?37449 View Article
    24.Weeks AR, Felix CE, Myler HR (1995, Mar) Edge detection of color images using the HSL color space. Proc. SPIE Nonlinear Image Processing VI 291 vol 2424. doi:10.鈥?117/鈥?2.鈥?05231
    25.Winkler S, Mohandas P (2008) The evolution of video quality measurement: from PSNR to Hybrid metrics. IEEE Trans Broadcast 54(3):1鈥?. doi:10.鈥?109/鈥婽BC.鈥?008.鈥?000733 View Article
    26.Yang J, Liu CJ, Zhang L (2010) Color space normalization: enhancing the discriminating power of color space for face recognition. Pattern Recogn 43(4):1454鈥?466. doi:10.鈥?016/鈥媕.鈥媝a tcog.鈥?009.鈥?1.鈥?14 MathSciNet View Article MATH
    27.Yang Y, Peng YH, Liu ZG (2007) A fast algorithm for YCbCr to RGB conversion. IEEE Trans Consum Electron 53(4):1490鈥?493. doi:10.鈥?109/鈥婽CE.鈥?007.鈥?429242 View Article
    28.Zhang C, Wang P (2000, Sep) A new method of color image segmentation based on intensity and hue clustering. Proc. IEEE 15th International Conference Pattern Recognition vol 3 pp 613鈥?16, Barcelona, Spain. doi:10.鈥?109/鈥婭CPR.鈥?000.鈥?03620
    29.Zheng LY, Zhang JT, Wang QY (2009) Mean-shift-based color segmentation of images containing green vegetation. Comput Electron Agric 65(1):93鈥?8. doi:10.鈥?016/鈥媕.鈥媍ompag.鈥?008.鈥?8.鈥?02 MathSciNet View Article
  • 作者单位:Yifang Liu (1) (2)
    Yunfeng Zhang (1) (2)
    Caiming Zhang (1) (2)

    1. School of Computer Science & Technology, Shandong University of Finance and Economics, Jinan, 250014, China
    2. Shandong Provincial Key Laboratory of Digital Media Technology, Jinan, 250014, China
  • 刊物类别:Computer Science
  • 刊物主题:Multimedia Information Systems
    Computer Communication Networks
    Data Structures, Cryptology and Information Theory
    Special Purpose and Application-Based Systems
  • 出版者:Springer Netherlands
  • ISSN:1573-7721
文摘
Real-time video processing heavily relies on the color space conversion. Due to the real-time requirement, the traditional conversion methods often suffer from the moderate conversion speed, inaccuracy and low video quality. In order to meet the efficiency requirement of color space conversion in real-time video systems, we present a fast algorithm for color space YCbCr to perception color model conversion, which is based on the simplified shift and look-up table (SSLUT). The approach can be divided into two steps. At first, the simplified fixed-point shift method is used to convert YCbCr to RGB. Then look-up table assists with the YCbCr to perception color model conversion, such as HSV, HSI and HSL. To validate the proposed fast algorithm, the conversion speed and accuracy are compared with the traditional methods based on Code Composer Studio (CCS) test platform. Moreover, we make the video quality evaluation by using the peak signal-to-ratio (PSNR) and the structural similarity (SSIM). Experimental results illustrate the real-time, robustness and accuracy of the fast algorithm.
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