Satellite Image Resolution Enhancement Using Evolved Wavelet Filters

2017 ◽  
Vol 14 (9) ◽  
pp. 4326-4339 ◽  
Author(s):  
S Yuvaraj ◽  
R Seshasayanan ◽  
K Kunaraj
Keyword(s):  
Satellite Image ◽  
Resolution Enhancement ◽  
Image Resolution ◽  
Wavelet Filters

scholarly journals Satellite Image Enhancement Using Dual Tree Complex Wavelet Transform

2017 ◽  
Vol 6 (4) ◽  
pp. 334-336
Author(s):  
C. Periyasamy
Keyword(s):  
Wavelet Transform ◽  
High Frequency ◽  
Signal To Noise Ratio ◽  
Satellite Image ◽  
Resolution Enhancement ◽  
Intermediate Stage ◽  
Image Resolution ◽  
Complex Wavelet Transform ◽  
Enhancement Technique ◽  
Complex Wavelet

Drawback of losing high frequency components suffers the resolution enhancement. In this project, wavelet domain based image resolution enhancement technique using Dual Tree Complex Wavelet Transform (DT-CWT) is proposed for resolution enhancement of the satellite images. Input images are decomposed by using DT-CWT in this proposed enhancement technique. Inverse DT-CWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.

Satellite Image Enhancement Using Dual Tree M-Band Wavelet Transform

2017 ◽  
Vol 8 (3) ◽  
pp. 737
Author(s):  
C. Periyasamy
Keyword(s):  
Wavelet Transform ◽  
High Frequency ◽  
Signal To Noise Ratio ◽  
Satellite Image ◽  
Resolution Enhancement ◽  
Intermediate Stage ◽  
Image Resolution ◽  
Enhancement Technique ◽  
Frequency Components ◽  
Visual Results

<p>Drawback of losing high frequency components suffers the resolution enhancement.  In this project, wavelet domain based image resolution enhancement technique using Dual Tree M-Band Wavelet Transform (DTMBWT) is proposed for resolution enhancement of the satellite images. Input images are decomposed by using DTMBWT in this proposed enhancement technique. Inverse DTMBWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.</p>

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