Apr 2, 2020 · Inspired by the success of dictionary encoding-based BIQM methods, this article proposes a deep dictionary encoding network (Deep-DEN) that can ...

Inspired by the success of dictionary encoding-based BIQM methods, this article proposes a deep dictionary encoding network (Deep-DEN) that can well capture the ...

Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network · Jiang, Qiuping · Gao, Wei · Wang, Shiqi · Yue, Guanghui ...

Bibliographic details on Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network.

Oct 1, 2020 · Blind image quality measurement (BIQM) has achieved great progress due to the deployment of deep neural networks (DNNs) for training ...

摘要. Blind image quality measurement (BIQM) has achieved great progress due to the deployment of deep neural networks (DNN.

Blind image quality assessment (BIQA) research aims to develop a perceptual model to evaluate the quality of distorted images automatically and accurately ...

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Blind image quality assessment (BIQA) aims at precisely estimating human perceived image quality with no access to a reference.

A novel deep neural network-based approach to accurately predict the quality of compressed LF images without pristine images, and proposes a ranking-based ...