Analysis of Image Using Singular Value Decomposition Method

Authors

  • G V K Murthy Professor, Department of EEE, PACE Institute of Technology and Sciences (A), Ongole, India. We then solve the homogeneous Author
  • C Rajalingam Professor, Department of EEE, PACE Institute of Technology and Sciences (A), Ongole, India. Author
  • S Kavitha Assistant Professor, Department of EEE, PACE Institute of Technology and Sciences (A), Ongole, India. Author
  • D Prasad Professor, Department of EEE, PACE Institute of Technology and Sciences (A), Ongole, India. Author

Keywords:

Image Compression, Singular Value Decomposition, MATLAB

Abstract

Image compression is the process of  reducing the size of an image file while retaining its  quality. When we compress a digital photograph or  graphic file, it maintains the same image resolution but  shrinks the amount of processing data that a computer  uses to view or display that image which ultimately  reduces the memory used for the storage of image files.  There are various algorithms used for image compression.  Linear Algebra(SVD) plays an important role in image  compression. In this paper, we will discuss what is  Singular Value Decomposition (SVD), how to compute singular value decomposition( SVD) andthe size of stored  images is reduced by removing small singular values.We  will use MATLAB to get the final output. 

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References

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Mathews, Brady, “Image Compression using Singular Value Decomposition (SVD),” 2014.

Elizabeth A. Compton and Stacey L. Ernstberger, PhD, “Singular Value Decomposition: Applications to Image Processing”, 2020

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Swathi, H & Sohini, Shah & Surbhi, & Gi, Gopichand, Image compression using singular value decomposition. IOP Conference Series: Materials Science and Engineering, 263. 042082, . 2017, doi: 10.1088/1757-899X/263/4/042082.

Published

2020-11-30

How to Cite

Analysis of Image Using Singular Value Decomposition Method . (2020). International Journal of Innovative Research in Computer Science & Technology, 8(6), 474–478. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13399