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Recent Advances in Intelligent Informatics pp 83–92Cite as

Natural Color Image Enhancement Based on Modified Multiscale Retinex Algorithm and Performance Evaluation Using Wavelet Energy

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 235))

Abstract

This paper presents a new color image enhancement technique based on modified modified MultiScale Retinex (MSR) algorithm and visual quality of the enhanced images are evaluated using a new metric, namely, Wavelet Energy (WE). The color image enhancement is achieved by downsampling the value component of HSV color space converted image into three scales (normal, medium and fine) following the contrast stretching operation. These downsampled value components are enhanced using the MSR algorithm. The value component is reconstructed by averaging each pixels of the lower scale image with that of the upper scale image subsequent to upsampling the lower scale image. This process replaces dark pixel by the average pixels of both the lower scale and upper scale, while retaining the bright pixels. The quality of the reconstructed images in the proposed method is found to be good and far better then the other researchers method. The performance of the proposed scheme is evaluated using new wavelet domain based assessment criterion, referred as WE. This scheme computes the energy of both original and enhanced image in wavelet domain. The number of edge details as well as WE is less in a poor quality image compared with naturally enhanced image. Experimental results presented confirms that the proposed wavelet energy based color image quality assessment technique efficiently characterizes both the local and global details of enhanced image.

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References

  1. Cheng, H.D., Shi, X.J.: A Simple and Effective Histogram Equalization Approach to Image Enhancement. Digital Signal Processing 14(2), 158–170 (2004)

    Article  Google Scholar 

  2. Zhu, Y., Huang, C.: An Adaptive Histogram Equalization Algorithm on the Image Gray Level Mapping. Physics Procedia 25, 601–608 (2012)

    Article  Google Scholar 

  3. Lee, E., Kim, S., Kang, W., Seo, D., Paik, J.: Contrast Enhancement Using Dominant Brightness Level Analysis and Adaptive Intensity Transformation for Remote Sensing Images, pp. 62–66 (2013)

    Google Scholar 

  4. Jie, X., LiNa, H., GuoHua, G., MingQuan, Z.: Based on hsv space real color image enhanced by multiscale homomorphic filters in two channels. In: Proceedings of WRI Global Congress on Intelligent Systems, vol. 3, pp. 160–165 (2009)

    Google Scholar 

  5. Jobson, D.J., Rahman, Z.U., Woodell, G.A.: A Multiscale Retinex for Bridging the Gap Between Color Images and the Human Observation of Scenes. IEEE Transactions on Image Processing 6(7), 965–976 (1997)

    Article  Google Scholar 

  6. Rahman, Z.U., Woodell, G.A., Jobson, D.J.: A Comparison of the Multiscale Retinex with other Image Enhancement Techniques. In: Proceedings of IS and T Annual Conference, pp. 426–431. Citeseer (1997)

    Google Scholar 

  7. Fang, F., Li, F., Zhang, G., Shen, C.: A variational method for multisource remote-sensing image fusion. International Journal of Remote Sensing 34(7), 2470–2486 (2013)

    Article  Google Scholar 

  8. Jang, C.Y., Lim, J.H., Kim, Y.H.: A Fast Multi-scale Retinex Algorithm using Dominant SSR in Weights Selection. In: Proceedings of International SoC Design Conference (ISOCC), pp. 37–40 (2012)

    Google Scholar 

  9. Meng, Q., Bian, D., Guo, M., Lu, F., Liu, D.: Improved Multiscale Retinex Algorithm for Medical Image Enhancement. In: Proceedings of Information Engineering and Applications, vol. 154, pp. 930–937 (2012)

    Google Scholar 

  10. Tsutsui, H., Yoshikawa, S., Okuhata, H., Onoye, T.: Halo Artifacts Reduction Method for Variational based Real-time Retinex Image Enhancement. In: Proceedings of Asia-Pacific Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1–6 (2012)

    Google Scholar 

  11. An, C., Yu, M.: Fast Color Image Enhancement based on Fuzzy Multiple-Scale Retinex. In: 6th International Forum on Strategic Technology (IFOST 2011), vol. 2, pp. 1065–1069 (2011)

    Google Scholar 

  12. Hanumantharaju, M.C., Ravishankar, M., Rameshbabu, D.R., Ramachandran, S.: Color Image Enhancement using Multiscale Retinex with Modified Color Restoration Technique. In: Second IEEE International Conference on Emerging Applications of Information Technology (EAIT 2011), pp. 93–97 (2011)

    Google Scholar 

  13. Shen, C.T., Hwang, W.L.: Color Image Enhancement using Retinex with Robust Envelope. In: Proceedings of 16th IEEE International Conference on Image Processing (ICIP 2009), pp. 3141–3144 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of ISE, Dayananda Sagar College of Engineering, Shavige Malleshwara Hills, Bangalore, India

    M. C. Hanumantharaju & M. Ravishankar

  2. Department of CSE, Dayananda Sagar College of Engineering, Shavige Malleshwara Hills, Bangalore, India

    D. R. Rameshbabu

Authors
  1. M. C. Hanumantharaju
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  2. M. Ravishankar
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  3. D. R. Rameshbabu
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Corresponding author

Correspondence to M. C. Hanumantharaju .

Editor information

Editors and Affiliations

  1. Technopark Campus Trivandrum, Indian Inst. of Information Technology and Management – Kerala (IIITM-K), Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Research Labs (MIR Labs), Auburn, USA

    Ajith Abraham

  3. Indian Statistical Institute, Kolkata, India

    Sankar Kumar Pal

  4. Department of Computer Science School of Science, University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado Rodriguez

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Hanumantharaju, M.C., Ravishankar, M., Rameshbabu, D.R. (2014). Natural Color Image Enhancement Based on Modified Multiscale Retinex Algorithm and Performance Evaluation Using Wavelet Energy. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-01778-5_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01777-8

  • Online ISBN: 978-3-319-01778-5

  • eBook Packages: EngineeringEngineering (R0)

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