Application of framelet transform and singular value decomposition to image enhancement
Joint Authors
Subramaniam, Sulochana
Rangasamy, Vidhya
Duraisamy, Vijayasekaran
Karuppanan, Mohanraj
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 4 (31 Jul. 2018)5 p.
Publisher
Publication Date
2018-07-31
Country of Publication
Jordan
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, a new satellite image enhancement technique based on framelet transform and Singular Value Decomposition (SVD) has been proposed.
Framelet transform is used to decompose the image into one low frequency subband and eight high frequency subbands.
The enhancement is done with regard of both resolution and contrast.
To increase the resolution, low and high frequency subbands have been interpolated.
In intermediate stage, estimating high frequency subbands has been proposed to achieve sharpness.
All the subbands are combined by inverse framelet transform to get the high resolution image.
To increase the contrast, framelet transform is combined with SVD.
Singular values of the low frequency subband are updated and inverse transform is performed to get the enhanced image.
The proposed technique has been tested on satellite images.
The quantitative measures such as Peak Signal-to-Noise (PSNR), Structural Similarity Index Measure (SSIM), Universal Quality Index (UQI), Entropy, Quality_ Score are used and the visual results show the superiority of the proposed technique over the conventional and state-of-art image enhancement techniques.
The time complexity indicates the proposed image enhancement is suitable for further image processing applications.
American Psychological Association (APA)
Subramaniam, Sulochana& Duraisamy, Vijayasekaran& Rangasamy, Vidhya& Karuppanan, Mohanraj. 2018. Application of framelet transform and singular value decomposition to image enhancement. The International Arab Journal of Information Technology،Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839044
Modern Language Association (MLA)
Rangasamy, Vidhya…[et al.]. Application of framelet transform and singular value decomposition to image enhancement. The International Arab Journal of Information Technology Vol. 15, no. 4 (Jul. 2018).
https://search.emarefa.net/detail/BIM-839044
American Medical Association (AMA)
Subramaniam, Sulochana& Duraisamy, Vijayasekaran& Rangasamy, Vidhya& Karuppanan, Mohanraj. Application of framelet transform and singular value decomposition to image enhancement. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839044
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839044