Underwater Image Sparse Representation based on Bag-Of-Words and Compressed Sensing

Abstract

In This Paper, a Novel Approach based on Bag-Of-Words and Compressed Sensing Has Been Proposed for the Sparse Representation of the Underwater Images. Properties in the Water, Such as the Limited Range, Non-Uniform Lighting, Low Contrast, Diminished Colors, Has Been Taken into Consideration for Underwater Image Sparse Representation. Our Method is a Simple and Computationally Efficient Extension of an Orderless Bag-Of-Words Model, and It Shows Consistently and Significantly Improved Performance on Underwater Image Representation Tasks.

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

bag-of-words; compressed sensing; sparse representation

International Standard Book Number (ISBN)

978-093395743-5

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

08 Feb 2016

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