scholarly journals Development of Optimal Weight Algorithm for Efficient Application of Dual Tree Complex Wavelet Transform for Resolution Enhancement of Satellite Images

2019 ◽  
Vol 117 (12) ◽  
pp. 2034 ◽  
Author(s):  
Akanksha Garg ◽  
Deepak Murugan ◽  
Dharmendra Singh
Keyword(s):  
Wavelet Transform ◽  
Satellite Images ◽  
Resolution Enhancement ◽  
Complex Wavelet Transform ◽  
Optimal Weight ◽  
Complex Wavelet

Dual-tree complex wavelet transform and SVD based medical image resolution enhancement

2014 ◽  
Vol 105 ◽  
pp. 430-437 ◽  
Author(s):  
Muhammad Zafar Iqbal ◽  
Abdul Ghafoor ◽  
Adil Masood Siddiqui ◽  
Muhammad Mohsin Riaz ◽  
Umar Khalid
Keyword(s):  
Wavelet Transform ◽  
Medical Image ◽  
Resolution Enhancement ◽  
Image Resolution ◽  
Complex Wavelet Transform ◽  
Complex Wavelet

scholarly journals Dual tree complex wavelet transform based image denoising for Kalpana satellite images

2018 ◽  
Vol 7 (3.29) ◽  
pp. 269
Author(s):  
Naga Lingamaiah Kurva ◽  
S Varadarajan
Keyword(s):  
Wavelet Transform ◽  
Satellite Images ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
Structural Similarity ◽  
Pictorial Representation ◽  
Complex Wavelet Transform ◽  
Raw Data ◽  
Complex Wavelet ◽  
Kalpana Satellite

This paper presents a new algorithm to reduce the noise from Kalpana Satellite Images using Dual Tree Complex Wavelet Transform technique. Satellite Images are not simple photographs; they are pictorial representation of measured data. Interpretation of noisy raw data leads to wrong estimation of geophysical parameters such as precipitation, cloud information etc., hence there is a need to improve the raw data by reducing the noise for better analysis. The satellite images are normally affected by various noises. This paper mainly concentrates on reducing the Gaussian noise, Poisson noise and Salt & Pepper noise. Finally the performance of the DTCWT wavelet measures in terms of Peak Signal to Noise Ratio and Structural Similarity Index for both noisy & denoised Kalpana images.   

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.

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