SMFrWF: Segmented Modified Fractional Wavelet Filter: Fast Low-Memory Discrete Wavelet Transform (DWT)

SMFrWF: Segmented Modified Fractional Wavelet Filter: Fast Low-Memory Discrete Wavelet Transform (DWT)

This paper proposes a novel algorithm to compute the 2-D discrete wavelet transform (DWT) of high-resolution (HR) images on low-cost visual sensor and Internet of Things (IoT) nodes. The main advantages of the proposed segmented modified fractional wavelet filter (SMFrWF) are reduced computation (ti...

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Bibliographic Details
Main Authors: Mohd Tausif, Ekram Khan, Mohd Hasan, Martin Reisslein
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Discrete wavelet transform (DWT)
low memory
low complexity
low-cost portable devices
visual sensors
Online Access:https://ieeexplore.ieee.org/document/8744331/

Internet

https://ieeexplore.ieee.org/document/8744331/

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