Image Enhancement Technique Using Symlet and Daubechies Wavelets
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 109 | Views: 363

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014 | Popularity: 6.7 / 10


     

Image Enhancement Technique Using Symlet and Daubechies Wavelets

Shivani Jain, Jyoti Rani


Abstract: Images are used in a variety of fields for image analysis and image understanding. Digital images are usually degraded by various types of noise due to sensor problems, weather problems and so on. In this paper, we represent a new technique for removing noise from images. This technique integrates Symlet and Daubechies discrete wavelet family members, thresholding and fast fourier thresholding and neural network. This proposed method is tested on a set of images. The proposed method gives good results in terms of PSNR and MSE values


Keywords: Symlet and Daubechies Discrete Wavelet Families, Thresholding Rule, Fast Fourier Thresholding, Neural Network, Gaussian Noise, Peak Signal to Noise Ratio PSNR, Mean Square Error MSE


Edition: Volume 3 Issue 11, November 2014


Pages: 2078 - 2080



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Shivani Jain, Jyoti Rani, "Image Enhancement Technique Using Symlet and Daubechies Wavelets", International Journal of Science and Research (IJSR), Volume 3 Issue 11, November 2014, pp. 2078-2080, https://www.ijsr.net/getabstract.php?paperid=OCT141361, DOI: https://www.doi.org/10.21275/OCT141361

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