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Singular Value Decomposition based sub-band decomposition and multiresolution (SVD-SBD-MRR) representation of digital colour Images
Singh, Satish Kumar1, Kumar, Shishir2.
Contemporary digital image processing applications require a suitable tool for further applications and
processing. In this paper, a Singular Value Decomposition (SVD) based new sub-band decomposition
and multi-resolution representation of digital colour images is proposed. Simulation was performed using MATLAB on Lenna image and the resultant sub-bands, which contained different directional details, are shown. Through a quantitative analysis, it is justified that the proposed method is better than other contemporary methods as it is suitable for compression and other image processing applications.
Affiliation:
- Jaypee University of Engineering and Technology, India
- Jaypee University of Engineering and Technology, India
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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3 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.1) |
Rank |
Q3 (Agricultural and Biological Sciences (all)) Q3 (Environmental Science (all)) Q3¬¬- (Computer Science (all)) Q3 (Chemical Engineering (all)) |
Additional Information |
SJR (0.174) |
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