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Optimization Weighted Matrix of Non-Negative Matrix Factorization for Image Compression

원문정보

초록

영어

Many methods have been applied in image compression and Non-negative matrix factorization (NMF) is one of some approach which could be applied in image compression. Non-Negative Matrix Factorization (NMF) was a realtively new approach to decompose data into two factors with non-negative entries. This paper shows that the NMF method can be applied in image compression using a model of 2x2 pixels weighted matrix rather than using the model of 200x200 pixels, 10x10 pixels and 4x4 pixels weighted matrix. This paper also shows that the 2x2 Weighted matrix model example of ((65536, 1), (1, 65536)) was the best weighted matrix for NMF image compression. Finally, this research proved that by using the weighted matrix with higher determinant value could gain smaller size compressed image.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Methodology
 4. Result and Implementation
 5. Conclusion
 References

저자정보

  • Robin Faculty of Information Technology, Mikroskil, Medan, Indonesia
  • Suharjito Magister of Information Technology, Bina Nusantara University Jakarta, Indonesia

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