Efficient Image Deblurring Using Alpha Plane Blending on Images Recovered with Linearly Varied Point Spread Function (PSF)

  • Poonam SharmaEmail author
  • Ashwani Kumar Dubey
  • Ayush Goyal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 904)


The medical imaging has seen a significant technological shift from analog-film-based imaging to high-end digital computer imaging. One of the problems this domain has always faced is the blurred images due to the natural motion in the body and mechanical motion of the capturing devices. This work utilizes the image blending technique to improve the image quality while deblurring through motion adaptive point spread functions. The idea is to first get a sample set of images restored through Lucy RC deconvolution techniques using varied PSFs and then applying the image blending over the image set in alpha plane to get deblurred sharp images.


Image blending Deconvolution Point spread function Deblurring Alpha plane Lucy RC deconvolution 


  1. 1.
    Fowler, B., El Gamal, A., Yang, D.X.D.: A CMOS area image sensor with pixel-level A/D conversion. In: 41st ISSCC, IEEE International Conference (1994)Google Scholar
  2. 2.
    Mane, A.S., Pawar, M.M.: Removing blurring from degraded image using blind deconvolution with canny edge detection technique. Int. J. Innov. Res. Adv. Eng. (IJIRAE) 1(11) (2014). ISSN: 2349–2163Google Scholar
  3. 3.
    Lil, W., Meunier, J., Soucy, J.-P.: A 3D adaptive Wiener filter for restoration of SPECT images using MRI as reference images. In: Proceedings of the 27th IEEE Conference in Medicine and Biology, Shanghai, China, 1–4 Sept 2005Google Scholar
  4. 4.
    Jiunn-Lin, W., Chang, C.-F., Chen, C.-S.: An adaptive Richardson-Lucy algorithm for single image Deblurring using local extrema filtering. J. Appl. Sci. Eng. 16(3), 269276 (2013)Google Scholar
  5. 5.
    Li, B., Zhan, Z.: Research on motion blurred image restoration. In: 5th International Congress on Image and Signal Processing (CISP) (2012)Google Scholar
  6. 6.
    Sharma, P., Sharma, S., Goyal, A.: An MSE (mean square error) based analysis of deconvolution techniques used for deblurring/restoration of MRI and CT Images. In: ACM—ICPS Proceedings ISBN No 978-1-4503-3962-9 (2016)Google Scholar
  7. 7.
    Dong, B., Xie, S.: A method of point spread function estimation for wideband electromagnetic distribution. In: Asia-Pacific International Symposium Electromagnetic Compatibility (APEMC) (2016)Google Scholar
  8. 8.
    Schretter, C., Bundervoet, S., Blinder, D.: Ultrasound imaging from sparse RF samples using system point spread functions. IEEE Trans Ultrason. Ferroelectr. Freq. Control 65.
  9. 9.
    Angelis, G.I., Gillam, J.E., Kyme, A.Z.: Modelling the motion dependent point spread function in motion corrected small animal PET imaging. In: Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD) 2016Google Scholar
  10. 10.
    Yim, P.J., Choyke, P.L., Summers, R.M.: Gray-scale skeletonization of small vessels in magnetic resonance angiography. IEEE Trans. Med. Imaging 19(6) (2000)Google Scholar
  11. 11.
    Pizurica, A., Philips, W.: A versatile wavelet domain noise filtration technique for medical imaging. IEEE Trans. Med. Imaging 22(3) (2003)Google Scholar
  12. 12.
    Guo, D., Wu, Y., Shitz, S.S.: Estimation in Gaussian noise: properties of the minimum mean-square error. IEEE Trans. Inform. Theor. 57(4) (2011)Google Scholar
  13. 13.
    Wang, W., Ng, M.K.: A variational method for multiple-image blending. IEEE Trans. Image Process. 21(4) (2012)Google Scholar
  14. 14.
    Pandey, A., Pati, U.C.: Development of saliency-based seamless image compositing using hybrid blending (SSICHB). IET Image Process. 11(6) (2017)Google Scholar
  15. 15.
    Igarashi, K., Yanagisawa, M., Togawa, N.: Image synthesis circuit design using selector-logic-based alpha blending and its FPGA implementation. In: 11th IEEE International Conference ASIC (ASICON) (2015)Google Scholar
  16. 16.
    Bao, J., Fan, J., Hu, X.: An effective consistency correction and blending method for camera-array-based microscopy imaging. In: WSSIP International Conference on Systems, Signals and Image Processing (2017)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Poonam Sharma
    • 1
    Email author
  • Ashwani Kumar Dubey
    • 1
  • Ayush Goyal
    • 2
  1. 1.Amity University Uttar PradeshNoidaIndia
  2. 2.Texas A&M UniversityKingsvilleUSA

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