Abstract
Enhancement techniques can be used to process an image so that the final result is more suitable than the original image for a specific application. Most of the image enhancement techniques are problem oriented. Image enhancement techniques fall into two broad categories: spatial domain techniques and frequency domain methodologies. The spatial domain refers to the image itself, and spatial domain approaches are based on the direct manipulation of pixels in the image. On the other hand, frequency domain techniques are based on modifying the Fourier transform of the image. Only spatial domain techniques are discussed in this chapter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Woods, R. E., Gonzalez, R. C. (1981): Real-time digital image enhancement. Proceedings of the IEEE, 69, 634–654.
Bockstein, I. M. (1986): Color equalization method and its application to color image processing. Journal Optical Society of America, 3 (5), 735–737.
Trahanias, P. E., Venetsanopoulos, A. N. (1992): Color image enhancement through 3-D histogram equalization. Proceedings of the 15th IARP International Conference on Pattern Recognition, 1, 545–548.
Faugeras, O. D. (1979): Digitl color image processing within the framework of a human visual model. IEEE Transaction on Acoustics, Speech and Signal Processing, 27 (4), 380–393.
Weeks, A. R., Haque, G. E., Myler, H. R. (1995): Histogram equalization of 24-bit color images in color difference (C-Y) color space. Journal of Electronic Imaging, 4 (1), 15–22.
Strickland, R., Kim, C., McDonell, W. (1987): Digital color image enhancement based on the saturation component. Optical Engineering, 26, 609–616.
Trahanias, P.E., Pitas, I., Venetsanopoulos, A.N. (1994): Color Image Processing. (Advances In 2D and 3D Digital Processing: Techniques and Applications, edited by C.T. Leondes), Academic Press, N.Y..
Jain, A.K. (1989): Fundamentals of Digital Image Processing. Prentice Hall, Englewood Cliffs, New Jersey.
Kuan, D., Phipps, G., Hsueh, A.C. (1998): Autonomous robotic vehicle road following. IEEE Transaction on Pattern Analysis and Machine Intelligence 10 (5): 648–658.
Holyer, R.J., Peckinpaugh, S.H. (1989): Edge detection applied to satellite imagery of the oceans. IEEE Transaction on Geoscience and Remote Sensing 27 (1): 46–56.
Rignot, E., Chellappa, R. (1992): Segmentation of polarimetric synthetic aperture radar data. IEEE Transaction on Image Processing, 1 (3) : 281–299.
Robb, R.A. (ed) (1985): Three-Dimensional Biomedical Imaging. CRC Press, Boca Raton FL.
Mallat, S. G. (1989): A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transaction on Pattern Analysis and Machine Intelligence, 11 (7): 674–693.
Mallat, S. G. (1989): Multifrequency channel decompositions of images and wavelet models. IEEE Transaction on Acoustics, Speech, and Signal Processing, 37(12): 2091–2110.
Zervakis, M. E. (1992): Optimal restoration of multichannel images based on constrained mean-square estimation. Journal Of Visual Communication and Image Representation, 3 (4): 392–411.
Sadjadi, F. A. (1990): Perspective on techniques for enhancing speckled imagery. Optical Engineering, 29 (1): 25–31.
Hunt, B. R., Kubler, O. (1984): Karhunen-Loeve multispectral image restoration, part I: Theory. IEEE Transaction on Acoustics, Speech, and Signal Processing, 32 (3) : 592–600.
Galatsanos, N. P., Chin, R. T. (1991) : Restoration of color images by multichannel Kalman filtering. IEEE Transaction on Signal Processing, 39 (10) : 2237–2252.
Angwin, D., Kaufman, H. (1987) : Adaptive restoration of color images. Proceedings of the 26th Conference on Decision and Control, Los Angeles, CA.
Galatsanos, N. P., Chin, R. T. (1989): Digital restoration of multichannel images. IEEE Transaction on Acoustics, Speech, and Signal Processing, 37 (3): 415–422.
Ozkan, M. K., Erdem, A. T., Sezan, M. I., Tekalp, A. M. (1992): Efficient multiframe Wiener restoration of blurred and noisy image sequences. IEEE Transaction on Image Processing 1: 453–476.
Tekalp, A. M., Pavlovic, G. (1990): Multichannel image modeling and Kalman filtering for multispectral image restoration. Signal Processing 19: 221–232.
Hunt, B. R. (1973): The application of constrained least squares estimation to image restoration by digital computer. IEEE Transaction on Computers, C-22 (9).
Galatsanos, N. P., Katsaggelos, A.K. (1992): Methods for choosing the regularizing parameter and estimating the noise variance in image restoration and their relation. IEEE Transaction on Image Processing 1 (3): 322–336.
Galatsanos, N. P., Kataggelos, A.K., Chin, R. T., Hillery, A. D. (1991): Least squares restoration of multichannel images. IEEE Transaction on 39 (10) : 2222–2236.
Tom, B.C.S., Lay, K. T., Katsaggelos, A. K. (1996): Multi channel image identification and restoration using the Expectation-Maximization algorithm. Optical Engineering, 35: 241–254.
Sezan, M. I., Trussel, H. J. (1991): Prototype image constraints for set-theoretic image restoration. IEEE Transaction on Signal Processing, 39 (10) : 2227–2285.
Katsaggelos, A. K., Lay, K. T., Galatsanos, N. P. (1993): A general framework for frequency domain multichannel signal processing. IEEE Transaction on Image Processing, 2: 417–420.
Schultz, R., Stevenson, R. (1995): Stochastic modeling and estimation of multispectral image data. IEEE Transaction on Image Processing, 4 (8): 1109–1119.
Zervakis, M. E., Kwon, T. M. (1992): Robust estimation techniques in regularized image restoration. Optical Enginnering, 31 (10)
Kassam, S. A., Poor, H. V. (1985): Robust techniques for signal processing: A survey. Proceedings of the IEEE, 73 (3) : 433–481.
Herbrt, T., Leahy, R. (1989): A generalized EM algorithm for 3-d Bayesian reconstruction from Poisson data using Gibbs priors. IEEE Transaction on Medical Imaging, 8 (2).
Zervakis, M. E., Venetsanopoulos, A. N. (1990): M-Estimators in robust nonlinear image restoration. Optical Engineering, 29 (5): 455–470.
Zervakis, M. E. (1996): Generalized maximum a posteriori processing of multichannel images and applications. Circuits Systems Signal Processing, 15 (2): 233–260.
Green, P. J. (1990): Bayesian reconstruction from emission tomography data using the modified EM algorithm. IEEE Transaction on Medical Imaging, 9 (1) .
Stevenson, R., Delp, E. (1990) : Fitting curves with discontinuities. Proceedings of the First International Workshop on Robust Computer Vision, Seattle, WA.
Tirakis, A., Delopoulos, A., Kollias, S. (1995): 2-D filter bank design of optimal reconstruction using limited subband information. IEEE Transaction on Image Processing, 4 (8): 1160–1165.
Delopoulos, A., Kollias, S. (1996): Optimal filterbanks for reconstruction from noisy subband components. IEEE Transaction on Signal Processing, 44 (2): 212–224.
Katsaggelos, A. K. (ed.):(1991) : Digital Image Restoration. Springer Verlag, New York, N. Y.
Zhu, W., Galatsanos, N. P., Katsaggelos, A.K. (1995): Regularized multichannel restoration using cross-validation. Graphical Models and Image Processing, 57: pp.38–54.
Chan, C.L., Katsaggelos, A. K., Sahakian, A. V. (1993): Image sequence filtering in quantum-limited noise with applications to low-dose fluoroscopy. IEEE Transaction on Medical Imaging, 12: 610–621.
Han, Y. S., Herrington, D. H., Snyder, W. E. (1992): Quantitative angiography using mean field annealing. Proceedings of Computers in Cardiology 1992, 1: 119–122.
Slump, C. H. (1992): Real time image restoration in diagnostic X-Ray imaging: The effects on quantum noise. 11th IAPR International Conference on Pattern Recognition, 2: 693–696.
Zervakis, M. E., Katsaggelos, A. K., Kwon, T. M. (1995): A class of robust entropic functionals for image restoration. IEEE Transaction on Image Processing, 4: 752–773.
Schafer, R. W., Mersereau, R. M., Richards, M. A. (1981): Constrained iterative restoration algorithms. Proceedings of the IEEE, 69 (4): 432–451.
Bouman, C., Sauer, K. (1993): A generalized Gaussian image model for the edge-preserving MAP estimation. IEEE Transaction on Image Processing, 2 (3): 296–310.
Figueiredo, M. A., Leitao, J. M.M. (1994): Sequential and parallel image restoration: Neural networks implementations. IEEE Transaction on Image Processing 3: 789–801.
Daubechies, I. (1992): Ten Lectures on Wavelets. SIAM, Philadelphia, PA.
Zervakis, M. E., Kwuon, T. W., Yang, J-S. (1995): Multiresolution image restoration in the wavelet domain. IEEE Transaction on Circuits and Systems TT 42 (9): 578–591
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Plataniotis, K.N., Venetsanopoulos, A.N. (2000). Color Image Enhancement and Restoration. In: Color Image Processing and Applications. Digital Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04186-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-662-04186-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08626-7
Online ISBN: 978-3-662-04186-4
eBook Packages: Springer Book Archive