Abstract
This paper presents a new image enhancement method based on Nonsubsampled Contourlet Transform (NSCT). The contourlet transform is a new extension of the wavelet transform that provides a multi-resolution and multi-direction analysis for two dimension images. The NSCT expansion is composed of basis images oriented at various directions in multiple scales, with flexible aspect ratios. Existing image enhancement methods cannot confine the directional edge information of the image. Given this rich set of basis images, the NSCT transform effectively captures direction edges that are the dominant feature in natural images. Each pixel is enhanced using nonlinear mapping functions depending on the category of the edges. Experimental results ascertain that the proposed method gives better performance of image enhancement than other methods.
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Hossain, M.F., Alsharif, M.R., Yamashita, K. (2010). A New Image Enhancement Method Based on Nonsubsampled Contourlet Transform. In: Chang, CC., Vasilakos, T., Das, P., Kim, Th., Kang, BH., Khurram Khan, M. (eds) Advanced Communication and Networking. ACN 2010. Communications in Computer and Information Science, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13405-0_8
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DOI: https://doi.org/10.1007/978-3-642-13405-0_8
Publisher Name: Springer, Berlin, Heidelberg
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