Image understanding using sparse representations /

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Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods hav...

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Bibliographic Details
Main Authors: Thiagarajan, Jayaraman Jayaraman (Author), Ramamurthy, Karthikeyan Natesan (Author), Spanias, Andreas (Author), Turaga, Pavan (Author)
Format: eBook
Language:English
Published: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Series:Synthesis digital library of engineering and computer science.
Synthesis lectures on image, video, and multimedia processing ; # 15.
Subjects:
Computer vision.
Image processing > Digital techniques > Mathematics.
Machine learning.
Sparse matrices.
clustering
compressed sensing
dictionary learning
graph embedding
image classification
image reconstruction
image recovery
kernel methods
natural images
sparse representations
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Abstract with links to full text

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