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Journal Achievements of Modern Radioelectronics №9 for 2011 г.
Article in number:
Using a method of reconstruction of two-dimensional signals to restore of archive photos
Keywords: reconstruction image analysis texture structure interpolation restoration archival photographs
Authors:
V.V. Voronin, V.I. Marchuk, N.V. Gapon, R.A. Sizyakin
Abstract:
With the widespread introduction of digital computerized systems of signal processing increased urgency of solving the restoration of images submitted by archival photographs. Over time, these photos appear on the set of defects in the form of single or group of pixels that have different distortions (eg: scratches, stains, dust, do not you want the inscription to the fold line), whose value in brightness is much to stand out among the other pixels. Restoration of these defects in the present, in most cases is carried out through manual processing, which hinders the restoration of all archival photographic documents. In this connection, is a topical problem of automated restoration of archival photographs. The paper describes how to use a new method for reconstruction of two-dimensional signals for processing of archival photographs. The proposed approach used a modified method of exemplar-based methods (EBM), which allows you to choose an adaptive form and size of the block in order to find similar patches. The efficiency of the new approach on several examples in the recovery of archival photographs.
Pages: 16-2-
References
  1. Bertalmio M., Bertozzi A., Sapiro G. Navier-Stokes, fluid dynamics, and image and video inpainting // Hawaii: Proc. IEEE Computer Vision and Pattern Recognition (CVPR). 2001. Р. 213-226.
  2. Perona P., Malik J. Scale-space and edge detection using anisotropic diffusion // IEEE Transactions on Pattern Analysis and Machine Intelligence. 1990. V. 12(7). P.629-639.
  3. Ballester C., Bertalmio M., Caselles V., Sapiro G., Verdera J. Filling-in by joint interpolation of vector fields and gray levers // IEEE Trans. On Image Processing. 2001.V. 10(8). P. 1200-1211.
  4. Alkachouh Z., Bellanger M.G. Fast DCT-based spatial domain interpolation of blocks in images // IEEE Trans. Image Process.2000.V. 9. №. 4. Р. 729-732.
  5. Park J.W., Kim J.W., Lee S.U. DCT coefficients recovery-based error concealment technique and its application to the MPEG-2 bit stream error // IEEE Trans. Circuits Syst. Video Technol.1997. V. 7. № 6. Р. 845-854.
  6. Guleryuz O.G. Nonlinear approximation based image recovery using adaptive sparse reconstructions and iterated denoising // Part I: Theory IEEE transactions on image processing. 2006.V.15. № 3.
  7. Elad M., Starck J., Querre P., and Donoho D. Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) // Applied and Computational Harmonic Analysis. 2005.V. 19. № 3. Р. 340-358.
  8. Criminisi A., Perez P., Toyama K. Region filling and object removal by exemplar-based image inpainting // IEEE Trans. Image Process.2004.V. 13(9). Р. 28-34.
  9. Bertalmio M., Vese L., Sapiro G., Osher S. Simultaneous texture and structure image inpainting // Proceedings of the International Conference on Computer Vision and Pattern Recognition. 2003. Р. 707-712.
  10. Gabriel P. PeyreTexture synthesys with grouplets // IEEE transactions on pattern analysis and machine intelligence. 2010.V. 32. №4.
  11. Voronin V.V., Marchuk V.I., Egiazarian K.O. Images reconstruction using modified exemplar based method // in Image Processing: Algorithms and Systems IX, edited by Jaakko T. Astola, Karen O. Egiazarian // Proceedings of SPIE V. 7870 (SPIE, Bellingham, WA 2011) 78700N.
  12. Марчук В.И., Воронин В.В., Шерстобитов А.И.Метод восстановления значений двумерных сигналов на основе синтеза текстуры и структуры изображений // Электротехнические и информационные комплексы и системы: научно-технический и теоретический журнал. М.: РГУТиС 2010. Т. 6. № 2. С. 25-33.
  13. Марчук В.И., Воронин В.В., Франц В.А. Модифицированный метод восстановления двумерных сигналов // Научно-технические ведомости СПбГПУ. Санкт-Петербург. 2011. № 1. С. 31 - 36.