PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Autofocusing with the help of orthogonal series transforms

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An autofocus algorithm employing orthogonal series expansions is proposed. Several instances of the generic algorithm, based on discrete trigonometric, polynomial and wavelet series, are reviewed. The algorithms are easy to implement in the transform coders used in digital cameras. Formal analysis of the algorithm properties is illustrated in experiments. Some practical issues are also discussed.
Twórcy
  • Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland, przemyslaw.sliwinski@pwr.wroc.pl
Bibliografia
  • [1] Special issue on color image processing, IEEE Signal Processing Magazine, vol. 22, no. 1, 2005.
  • [2] Nayar S. K., Nakagawa Y.: Shape from focus, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 8, pp. 824-831, 1994.
  • [3] Pradeep K. S., Rajagopalan A. N.: Improving shape from focus using defocus cue, IEEE Transactions on Image Processing, vol. 16, no. 7, pp. 1920-1925, 2007.
  • [4] Groen F. C. A., Young I. T., Ligthart G.: A comparison of different focus functions for use in autofocus algorithms, Cytometry, vol. 6, no. 2, pp. 81-91, 1985. [Online]. Available: dx.doi.org/10.1002/cyto.990060202
  • [5] Subbarao M., Tyan J.-K.: Selecting the optimal focus measure for autofocusing and depth-from-focus, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pp. 864-870, 1998.
  • [6] Erteza A.: Depth of convergence of a sharpness index autofocus system, Applied Optics, vol. 16, no. 8, pp. 2273-2278, 1977.
  • [7] Krotkov E.: Focusing, International Journal of Computer Vision, vol. 1, no. 3, pp. 223-237, 1987.
  • [8] Widjaja J., Jutamulia S.: Wavelet transform-based autofocus camera systems, IEEE Proceedings, 1998.
  • [9] Pennebaker W. B., Mitchel J. L.: JPEG: Still Image Data Compression Standard. New York: Van Nostrand Reinhold, 1992.
  • [10] Taubman D., Marcellin M.: JPEG2000. Image Compression Fundamentals, Standards and Practice, ser. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, 2002, vol. 642.
  • [11] Dufaux F., Sullivan G., Ebrahimi T.: The JPEG XR image coding standard, IEEE Signal Processing Magazine, vol. 26, no. 6, pp. 195-199, 204, 2009.
  • [12] Śliwiński P.: Autofocusing with orthogonal series, 2009, submitted for review.
  • [13] Goodman J. W.: Statistical optics. New York: Willey-Interscience, 2000.
  • [14] Ray S. J.: Applied Photographic Optics, 3rd Ed. Oxford: Focal Press, 2002.
  • [15] Paulson L. D.: Will new chip revolutionize digital photography? IEEE Computer, vol. 35, no. 5, pp. 25-26, 2002.
  • [16] Ramanath R., Snyder W. E., Yoo Y., Drew M. S.: Color image processing pipeline. a general survey of digital still camera processing, IEEE Signal Processing Magazine, vol. 22, no. 1, pp. 34-43, 2005.
  • [17] Muresan D. D., Parks T. W.: Demosaicing using optimal recovery, IEEE Transactions on Information Theory, vol. 14, no. 2, pp. 267-278, 2005.
  • [18] Li X.: Demosaicing by successive approximation, IEEE Transactions on Image Processing, vol. 14, no. 3, pp. 370-379, 2005.
  • [19] Haar A.: Zur Theorie der Orthogonalen Funktionen-Systeme, Annals of Mathematics, vol. 69, 1910.
  • [20] Sansone G.: Orthogonal Functions. New York: Interscience, 1959.
  • [21] Rivlin T.: Chebyshev Polynomials. New York: Wiley, 1974.
  • [22] Szego G.: Orthogonal Polynomials, 3rd ed. Providence, R.I.: American Mathematical Society, 1974.
  • [23] Vetterli M., Le Gall D.: Perfect reconstruction FIR filter banks: some properties and factorizations, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 37, no. 7, pp. 1057-1071, 1989.
  • [24] Daubechies I.: Ten Lectures on Wavelets. Philadelphia: SIAM Edition 1992.
  • [25] Walter G. G.: Wavelets and other orthogonal systems with applications. Boca Raton: CRC Press, 2001.
  • [26] Unser M., Blu T.: Mathematical properties of the JPEG2000 wavelet filters, IEEE Transactions on Image Processing, vol. 12, no. 9, pp. 1080-1090, September 2003.
  • [27] Antonini M., Barlaud M., Mathieu P., Daubechies I.: Image coding using wavelet transform, IEEE Transactions on Image Processing, vol. 1, no. 2, pp. 205-220, 1992.
  • [28] De Vore R. A., Jawerth B., Lucier B.: Image compression through wavelet transform coding, IEEE Transactions on Information Theory, vol. 38, no. 2, pp. 719-746, 1992.
  • [29] Donoho D. L., Vetterli M., De Vore R. A., Daubechies I.: Data compression and harmonic analysis, IEEE Transactions on Information Theory, vol. 44, no. 6, pp. 2435-2476, 1998.
  • [30] Special issue on JPEG 2000 standard, IEEE Signal Processing Magazine, vol. 18, no. 5, 2001.
  • [31] Special issue on JPEG 2000 standard, Signal Processing: Image Communication, vol. 17, 2002.
  • [32] Cohen A., Daubechies I., Guleryuz O. G., Orchard M. T.: On the importance of combining wavelet-based nonlinear approximation with coding strategies, IEEE Transactions on Information Theory, vol. 48, no. 7, pp. 1895-1921, 2002.
  • [33] Special section on JPEG 2000 digital imaging, IEEE Transactions on Consumer Electronics, vol. 49, pp. 771-888, 2003.
  • [34] Special section on the H.264/AVC video coding standard, IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 557-725, 2003.
  • [35] Cohen A., D'Ales J.-P.: Nonlinear approximation of random functions, SIAM Journal of Applied Mathematics, vol. 57, no. 2, pp. 518-540, 1997.
  • [36] Acharya T., Tsai P.-S.: JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures. Wiley-Interscience, 2005.
  • [37] Lee D. T.: JPEG 2000: Retrospective and new developments, Proceedings of the IEEE, vol. 93, no. 1, pp. 32-41, 2005.
  • [38] Fang H.-C., Chang Y.-W., Cheng C.-C., Chen L.-G.: Memory efficient JPEG 2000 architecture with stripe pipeline scheduling, IEEE Transactions on Signal Processing, vol. 54, no. 12, pp. 4807-4816, 2006.
  • [39] Savaton G., Casseau E., Martin E.: Design of a flexible 2-D discrete wavelet transform IP core for JPEG2000 image coding in embedded imaging systems, Signal Processing, vol. 86, pp. 1375-1399, 2006.
  • [40] Fowler B., Godfrey M. D., Mims S.: Reset noise reduction in capacitive sensors, IEEE Transaction on Circuits and Systems-I: Regular Papers, vol. 53, no. 8, pp. 1658-1669, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0041-0004
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.