چکیده (انگلیسی):

Satellite images are corrupted by noise in its acquisition and transmission. The removal of noise from the
image by attenuating the high frequency image components, removes some important details as well. In
order to retain the useful information and improve the visual appearance, an effective denoising and
resolution enhancement techniques are required. In this research, Hybrid Directional Lifting (HDL)
technique is proposed to retain the important details of the image and improve the visual appearance. The
Discrete Wavelet Transform (DWT) based interpolation technique is developed for enhancing the resolution
of the denoised image. The performance of the proposed techniques are tested by Land Remote-Sensing
Satellite (LANDSAT) images, using the quantitative performance measure, Peak Signal to Noise Ratio
(PSNR) and computation time to show the significance of the proposed techniques. The PSNR of the HDL
technique increases 1.02 dB compared to the standard denoising technique and the DWT based interpolation
technique increases 3.94 dB. From the experimental results it reveals that newly developed image denoising
and resolution enhancement techniques improve the image visual quality with rich textures.
Key words: Denoising, Discrete Wavelet Transform, Enhancement, Hybrid Directional Lifting, Peak Signal
to Noise Ratio