Wavelet Transform Based Image Resolution Enhancement

  • Mr.Sainath Uttam Gaike
Keywords: DWT,, IDWT, Interpolation, Wavelet transform

Abstract

Wavelet transform based images resolution im-provement is new technique in which all low and high frequency bands are considered for improvement using interpolation techniques like line-ar and bicubic which scales image. In previous work only high frequen-cy bands are used for interpolation here differently low pass band is also considered because LL low –low frequency band mainly consist directional information feature .The interpolated frequency sub band coefficients have been corrected by using the frequency sub bands achieved by SWT of the input image. An original image is interpolated with half of the interpolation factor used for interpolation the high fre-quency sub bands. Afterwards all these images have been combined using IDWT to generate super resolved image. We are interpolating it to achieve high resolution using directional information features of low low band. We are using the input image for the interpolation of low frequency sub band image.

References

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Published
2014-06-11
How to Cite
Gaike, M. (2014). Wavelet Transform Based Image Resolution Enhancement. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 1(1), 4. Retrieved from http://asianssr.org/index.php/ajct/article/view/40
Section
Article

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