Image Super-Resolution Via Wavelet Feature Extraction and Sparse Representation

Image Super-Resolution Via Wavelet Feature Extraction and Sparse Representation

This paper proposes a novel Super-Resolution (SR) technique based on wavelet feature extraction and sparse representation. First, the Low-Resolution (LR) image is interpolated employing the Lanczos operation. Then, the image is decomposed into sub-bands (LL, LH, HL and HH) via Discrete Wavelet Trans...

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Bibliographic Details
Main Authors: V. Alvarez-Ramos, V. Ponomaryov, S. Sadovnychiy
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2018-06-01
Series:Radioengineering
Subjects:
Super-resolution
sparse representation
wavelet
features
interpolation
neural networks
Online Access:https://www.radioeng.cz/fulltexts/2018/18_02_0602_0609.pdf

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