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Image Contrast Enhancement Using Fast Discrete Curvelet Transform via Unequally Spaced Fast Fourier Transform (FDCT-USFFT)

Abdullah M. Hammouche; Hazem M. El-Bakry; Reham R. Mostafa
The digital cameras provided a great service for users of different ages as it facilitated the process of capturing the images, and in spite of that user still needs to improve some of the images marred by the lack of clarity when taking an image because of the lack of proper lighting as it is in cloudy weather or bright or dark sites light , or take the image from a distance, leading to blurred image details. We Propose in this paper a new method for contrast enhancement gray images based on Fast Discrete Curvelet Transform via Unequally Spaced Fast Fourier Transform (FDCT-USFFT). This type of transforms returns a table of curvelet coefficients indexed by a scale parameters, an orientation, and a spatial location. The FDCT-USFFT coefficients can be modified in order to enhancement contrast in an image. Results show that the proposed technique gave very good results, in comparison to the histogram equalization and wavelet transform based contrast enhancement method.
Select Volume / Issues:
Year:
2016
Type of Publication:
Article
Keywords:
FDCTs; FDCT USFFTs
Journal:
IJECCE
Volume:
7
Number:
2
Pages:
88-92
Month:
March
ISSN:
2278-4209
Hits: 1248

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