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Image relaxation: restoration and feature extraction

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5 Author(s)
W. Snyder ; Bowman Gray Sch. of Med., Winston-Salem, NC ; Youn-Sik Han ; G. Bilbro ; R. Whitaker
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Cited by IEEE Publications(11)
  1. Ghosh, A.; Subudhi, B. N.; Ghosh, S. "Object Detection From Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching",  Circuits and Systems for Video Technology, IEEE Transactions on, On page(s): 1127 - 1135 Volume: 22, Issue: 8, Aug. 2012
  2. Yufang Bao; Krim, H. "Smart nonlinear diffusion: a probabilistic approach",  Pattern Analysis and Machine Intelligence, IEEE Transactions on, On page(s): 63 - 72 Volume: 26, Issue: 1, Jan. 2004
  3. Soccorsi, Matteo; Datcu, Mihai; Gleich, Dusan "TerraSAR-X: Complex Image Inversion for Feature Extraction",  Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, On page(s): III - 99 - III - 102 Volume: 3, 7-11 July 2008
  4. Pan, Zhidong "An Optimal Method for Dynamic Particle Image Sequence",  Image and Signal Processing, 2009. CISP '09. 2nd International Congress on, On page(s): 1 - 5
  5. Hairong Qi; Snyder, W.E.; Bilbro, G.L. "Using mean field annealing to solve anisotropic diffusion problems ",  Image Processing, 1997. Proceedings., International Conference on, On page(s): 352 - 355 vol.3 Volume: 3, 26-29 Oct 1997
  6. Nikolova, M.; Idier, J.; Mohammad-Djafari, A. "Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF",  Image Processing, IEEE Transactions on, On page(s): 571 - 585 Volume: 7, Issue: 4, Apr 1998
  7. Nikolova, M.  "Thresholding implied by truncated quadratic regularization",  IEEE Transactions on Signal Processing, Volume.48, Issue.12, pp.3437, 2000, ISSN: 1053587X,
  8. Nikolova, M.  "Markovian reconstruction using a GNC approach",  IEEE Transactions on Image Processing, Volume.8, Issue.9, pp.1204, 1999, ISSN: 10577149,
  9. Tasdizen, T.; Whitaker, R.  "Higher-order nonlinear priors for surface reconstruction",  IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume.26, Issue.7, pp.878, 2004, ISSN: 01628828,
  10. Awate, S.P.; Whitaker, R.T.  "Unsupervised, information-theoretic, adaptive image filtering for image restoration",  IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume.28, Issue.3, pp.364, 2006, ISSN: 01628828,
  11. Soccorsi, Matteo; Gleich, Du¿an; Datcu, Mihai  "Huber–Markov Model for Complex SAR Image Restoration",  IEEE Geoscience and Remote Sensing Letters, Volume.7, Issue.1, pp.63, 2010, ISSN: 1545598X,
Cited by Other Publications(3) Back To Top
  1. Qi, Hairong; Snyder, Wesley E.; Marchette, David  "Efficient approach to segment man-made targets from unmanned aerial vehicle imagery",  Optical Engineering, Volume.39, Issue.5, pp.1267, 2000, ISSN: 00913286,
  2. Yang, Zhiyong; Ma, Songde  "Local interaction fields and adaptive regularizers for surface reconstruction and image relaxation",  Network Computation in Neural Systems, Volume.9, Issue.1, pp.19, 1998, ISSN: 0954898X,
  3. Nikolova, Mila; Ng, Michael K.; Zhang, Shuqin; Ching, Wai-Ki  "Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization",  SIAM Journal on Imaging Sciences, Volume.1, Issue.1, pp.2, 2008, ISSN: 19364954,
Cited in Patents(1) Patent Links Provided by 1790 Analytics Back To Top
  1. Sarkis, Michel ,  "Passive radiometric imaging device and method" , Patent No. 9018582 More
    Sarkis, Michel

    A passive radiometric imaging device and a corresponding method for scanning a scene and reconstructing an image of said scene provide an improved image quality. The device comprises a radiometer for detecting radiation and a processing means for subsequently determining pixel values of pixels of the image to be reconstructed. A cost calculation unit calculates costs for the radiation samples of said data sub-set according to a predetermined cost function, said costs indicating the level of noise in the respective radiation sample. An optimization unit determines a pixel value as a label value from a set of label values, a label indicating a radiation sample or a group of radiation samples of the respective data sub-set, by determining an extremum of energy values determined for different radiation samples or different groups of radiation samples of the respective data sub-set by use of an energy function.

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