Abstract
we present a color image enhancement method. The proposed method enhances the brightness and contrast of an input image using the low pass and band pass images in Laplacian pyramid, respectively. For color images, our method enhances the color tone by increasing the saturation adpatively according to the intensity of an input image. The major parameters required in our method are automatically set by the human preference data, therefore, the proposed method runs fully automatically without user interaction. Moreover, due to the simplicity and efficiency of the proposed method, a real time implementation and the enhanced results of the image quality was validated through the experiments on various images and video sequences.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Forrest, A.K.: Colour Histogram Equalisation of Multichannel Images. IEE Proceedings on Vision, Image and Signal Processing 152(6), 677–686 (2005)
Yang, S., Oh, J.H., Park, Y.: Contrast Enhancement using Histogram Equalization with Bin Underflow and Bin Overflow. In: International Conference on Image Processing, vol. 1, pp. 881–884 (2003)
Rahman, Z., Jobson, D.J., Woodell, G.A.: A Multiscale Retinex for Color Rendition and Dynamic Range Compression. In: SPIE Applications of Digital Image Processing XIX, vol. 2847, pp. 183–191 (1996)
Dippel, S., Stahl, M., Wiemker, R., Blaffert, T.: Multiscale Contrast Enhancement for Radiographies: Laplacian Pyramid versus Fast Wavelet Transform. IEEE Transaction on Medical Imaging 21(4), 343–353 (2002)
Huang, K., Wang, Q., Wu, Z.: Color Image Enhancement and Evaluation Algorithm based on Human Visual System. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 721–724 (2004)
Pattanaik, S.N., Ferwerda, J.A., Fairchild, M.D., Greenberg, D.P.: A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display. In: ACM Special Interest Group on Computer Graphics and Interactive Techniques, pp. 287–298 (1998)
Rahman, Z., Jobson, D.J., Woodell, G.A.: Retinex Processing for Automatic Image Enhancement. Journal of Electronic Imaging 13(1), 100–110 (2004)
Tao, L., Tomkins, R., Asari, V.K.: An Illuminance-Reflectance Model for Nonlinear Enhancement of Color Images. Computer Vision and Pattern Recognition 3, 159–159 (2005)
Huber, P.J.: Robust Statistics. Wiley, New York (1981)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, Englewood Cliffs (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baek, YM., Kim, HJ., Lee, JA., Oh, SG., Kim, WY. (2006). Color Image Enhancement Using the Laplacian Pyramid. In: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_87
Download citation
DOI: https://doi.org/10.1007/11922162_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48766-1
Online ISBN: 978-3-540-48769-2
eBook Packages: Computer ScienceComputer Science (R0)