  In this paper the technique for resolution and contrast enhancement of
satellite geographical images based on discrete wavelet transform (DWT),
stationary wavelet transform (SWT) and singular value decomposition (SVD) has
been proposed. In this, the noise is added in the input low resolution and low
contrast image. The median filter is used remove noise from the input image.
This low resolution, low contrast image without noise is decomposed into four
sub-bands by using DWT and SWT. The resolution enhancement technique is based
on the interpolation of high frequency components obtained by DWT and input
image. SWT is used to enhance input image. DWT is used to decompose an image
into four frequency sub bands and these four sub-bands are interpolated using
bicubic interpolation technique. All these sub-bands are reconstructed as high
resolution image by using inverse DWT (IDWT). To increase the contrast the
proposed technique uses DWT and SVD. GHE is used to equalize an image. The
equalized image is decomposed into four sub-bands using DWT and new LL sub-band
is reconstructed using SVD. All sub-bands are reconstructed using IDWT to
generate high resolution and contrast image over conventional techniques. The
experimental result shows superiority of the proposed technique over
conventional techniques.
  Key words: Discrete wavelet transform (DWT), General histogram equalization
(GHE), Median filter, Singular value decomposition (SVD), Stationary wavelet
transform (SWT).

Computer Vision and Pattern Recognition