A local order transform of digital images
V.V. Myasnikov

 

Image Processing Systems Institute, Russian Academy of Sciences,

Samara State Aerospace University

Full text of article: Russian language.

 PDF

Abstract:
In this article a new method of nonlinear local processing of digital images, named a local order transform, is proposed and investigated. Properties of the proposed transform are determined. The relevance and efficiency of the proposed method are demonstrated for the applied problem of detecting duplicates in digital images in the case of brightness distortions.

Keywords:
nonlinear local processing, digital images, order transform.

Citation:
Myasnikov VV. A local order transform of digital images. Computer Optics 2015; 39(3): 397-405. DOI: 10.18287/0134-2452-2015-39-3-397-405.

References:

  1. Gashnikov MV, Glumov NI, Ilyasova NU, Myasnikov VV, Popov SB, Sergeyev VV, Soyfer VA, Khramov AG, Chernov AV, Chernov VM, Chicheva MA, Fursov VA. Methods of Computer Image Processing. Ed by Soifer V.A. [In Russian]. Moscow: «Fizmatlit» Publisher; 2003.
  2. Pitas I, Venetsanopoulos AN. Order Statistics in Digital Processing. Proceedings of the IEEE 1992; 80(12): 1893-1921.
  3. Astola J, Kuosmanen P. Fundamentals of Nonlinear Digital Filtering. New York: CRC Press; 1997.
  4. Dougherty ER, Astola J. An Introduction to Nonlinear Image Processing. Washington: SPIE Press; 1994.
  5. Galleani L, Cohen L [et al]. Advancies in Nonlinear Image Processing. New York: Hindawi Publishing Co.; 2006.
  6. Glumov NI, Myasnikov VV, Sergeyev VV. Parallel-recursive local image processing and polynomial bases. Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems 1996; 2: 696-699.
  7. Myasnikov VV. Constructing efficient linear local features in image processing and analysis problems. Automation and Remote Control 2010; 72(3): 514-527.
  8. Denisova AY, Myasnikov VV. Anomaly detection for hyperspectral imaginary [In Russian]. Computer Optics 2014; 38(2): 287-296.
  9. Kuznetsov AV, Myasnikov VV. A comparison of algorithms for supervised classification using hyperspectral data [In Russian]. Computer Optics 2014; 38(3): 494-502.
  10. Kopenkov VN, Myasnikov VV. An algorithm for automatic construction of computational procedure of non-linear local image processing on the base of hierarchical regression [In Russian]. Computer Optics 2012; 36(2): 257-265.
  11. Glumov NI, Kuznetsov AV, Myasnikov VV. The algorithm for copy-move detection on digital images [In Russian]. Computer Optics 2013; 37(3): 360-367.
  12. Kuznetsov AV, Myasnikov VV. Efficient linear local features based copy-move detection algorithm [In Russian]. Computer Optics 2013; 37(4): 489-495.
© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail:journal@computeroptics.ru; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20