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- Amrita’s Fetal Cardiology learning ( AFCL) Module – Fetal Heart Hybrid - Fellowship
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
Source : 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies (2009)
Url : https://ieeexplore.ieee.org/document/5376535
Keywords : Cloud computing, cloud-associated shadow areas enhancement, cloudy Landsat7 Panchromatic subscene, filter bank, Finite impulse response filter, framelet based image fusion, framelet decomposition levels, framelet-based image sharpening algorithm, Framelets, frequency decomposition, Frequency domain analysis, geophysical image processing, Image Enhancement, Image fusion, LANDSAT, Remote sensing, Satellite images, Satellites, shadow, telecommunication computing, Telecommunication control, Wavelet domain, Wavelets
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2009
Abstract : In this paper, a framelet-based image sharpening algorithm was developed to enhance cloud-associated shadow areas in satellite images while preserving details underneath shadow areas. The developed algorithm utilizes framelet analysis to decompose cloudy images into several frequency level components. Image details underneath shadow areas are more preserved in this method compared to wavelet based methods. The developed technique is implemented on a cloudy Landsat7 Panchromatic subscene. The results showed that the developed technique was successful in enhancing the cloudy image through preserving the obscured details underneath the cloud associated shadow areas. Framelet based technique is having ability to maintain such details under shadow areas. Generally, two or three framelet decomposition levels were found to be sufficient for the analysis because the number of artifacts will increase with increase of number of decomposition levels.
Cite this Research Publication : M. K., T., A., V., K. Rao G., and Dr. Soman K. P., “Framelet Based Image Fusion for the Enhancement of Cloud Associated Shadow areas in Satellite Images”, in 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009.