Analysis of image quality metric for ROI using image restoration techniques

  • Authors

    • Syed Amma Sheik Ibra Collegeof Technology
    2014-05-18
    https://doi.org/10.14419/ijet.v3i2.2359

  • Abstract

    Analysis of an image plays vital role in the image processing field, which leads to the inventions of applications in the area of telemedicine, remote sensing via satellites and other spacecrafts, radar, sonar and acoustic image processing etc. This concept is a key factor in research field. One of the common image analysis is use of Region of Interest (ROI) image, which is an effortless way of analyzing images. This paper proposes a method to analyze the Image Quality Metric (IQM) for a ROI based color image. IQM is accomplished by the use of the three image restoration algorithms such as Blind deconvolution algorithm, Wiener Filtering algorithm and Lucy – Richardson algorithm.

    Keywords: Blind Deconvolution, Lucy Richardson, Point Spread Function, Region of Interest, Image Quality Metric, Wiener Filter.

  • References

    1. Rafel C.Gonzalez, Richard E.Woods Steven L.Eddins, “Digital Image Processing using MATLAB”, Tata McGraw Hill, (2011) pp 164 -169.
    2. Anil K.Jain “Fundamental of Digital Image Processing”, Prentice Hall of India, (2007) pp.267 - 290.
    3. M.Prem Kumar, P.H.S. Tejo Murthy, Dr.P.Rajesh Kumar “Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment”, International Journal of Computer Applications(0975-8887),Vol 18-No6,March 2011
    4. Z. Wang and A. C. Bovik, “A universal image quality index,” IEEE Signal Processing Letters, vol. 9, Mar. 2002, pp. 81–84.
    5. Yanrui Liu, Han Sun, Yingqi Di and YanZhou, “A New Region of Interest Based Image Quality Assessment Algorithm”, 2010 IEEE.
    6. Maity, S. P. Kundu, M. K., Robust and Blind Spatial Watermarking In Digital Image, Proc. 3rd Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP '2002), 16-18th December, 2002, Ahmedabad, India, pp. 388 -393.
    7. Parameswaran, L. Anbumani, K.,” A Robust Image Watermarking Scheme using Image Moment Normalization, Transactions on Engineering, Computing and Technology”, ISSN 1305-5313, Vol. 13, May, 2006.
    8. Image Reference: .http://mars.jpl.nasa.gov/msl.

  • Downloads

  • How to Cite

    Sheik, S. A. (2014). Analysis of image quality metric for ROI using image restoration techniques. International Journal of Engineering & Technology, 3(2), 262-267. https://doi.org/10.14419/ijet.v3i2.2359

    Received date: 2014-04-05

    Accepted date: 2014-05-02

    Published date: 2014-05-18