No-reference image quality assessment based on AdaBoost BP neural network in wavelet domain

Volume: 30, Issue: 2, Pages: 223 - 223
Published: Jan 1, 2019
Abstract
Considering the relatively poor robustness of quality scores for different types of distortion and the lack of mechanism for determining distortion types, a no-reference image quality assessment (NR-IQA) method based on the AdaBoost BP Neural Network in Wavelet domain (WABNN) is proposed. A 36-dimensional image feature vector is constructed by extracting natural scene statistics (NSS) features and local information entropy features of the...
Paper Details
Title
No-reference image quality assessment based on AdaBoost BP neural network in wavelet domain
Published Date
Jan 1, 2019
Volume
30
Issue
2
Pages
223 - 223
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