DECOMPOSITION INTO VALUES SINGULARS OF A MATRIX: A REVIEW FOR THE THEORETICAL FOUNDATIONS AND ITS APPLICATIONS IN THE PROCESSING OF IMAGES
Keywords:
SVD, singular values, image processing, Linear AlgebraAbstract
This review paper systematizes a detailed, didactical and own construction of the singular value decomposition (SVD). The theory is complemented with relevant applications to image processing. Also, the algorithms of those applications and numerical examples are shown. The way how the document is organized allows it to be useful for students and researchers with interest in the SVD and its applications to image processing.
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Published
2024-06-05
How to Cite
Fallas-Monge, J. J., Chavarr´ıa-Molina, J., & Soto-Quiros, P. (2024). DECOMPOSITION INTO VALUES SINGULARS OF A MATRIX: A REVIEW FOR THE THEORETICAL FOUNDATIONS AND ITS APPLICATIONS IN THE PROCESSING OF IMAGES. Investigación Operacional, 42(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9161
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Copyright (c) 2024 Investigación Operacional
This work is licensed under a Creative Commons Attribution 4.0 International License.
