DEEP NON-NEGATIVE MATRIX FACTORIZATION MODEL FOR CLUSTERING-BASED IMAGE DENOISING

DEEP NON-NEGATIVE MATRIX FACTORIZATION MODEL FOR CLUSTERING-BASED IMAGE DENOISING

Technologies like self-driving cars and cleaning robots are emerging as mainstream technologies. These technologies make use of cognitive recognition. Non-negative matrix factorization (NMF) is one such technique that is popularly used for computer vision and hidden pattern recognition. NMF is prone...

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Bibliographic Details
Main Authors: Shaily Malik, Nishtha Jatana, Divya Jatain, Geetanjali Sharma, Vaani Garg, Amita Yadav
Format: Article
Language:English
Published: University of Kragujevac 2024-12-01
Series:Proceedings on Engineering Sciences
Subjects:
clustering
denoising
autoencoders
homogeneity
dimensionality reduction
quantization
non-negative matrix factorization.
Online Access:https://pesjournal.net/journal/v6-n4/52.pdf

Internet

https://pesjournal.net/journal/v6-n4/52.pdf

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