Computational visual media no-reference synthetic image_quality assessment with convolutional neural_network and local image saliency ( the author(s) 2019.

HIGHLIGHTS

• who: Xiaochuan Wang and colleagues from the (UNIVERSITY) have published the research: Computational Visual Media No-reference synthetic image_quality assessment with convolutional neural_network and local image saliency ( The Author(s) 2019., in the Journal: (JOURNAL)
• what: The authors propose a novel no-reference image quality assessment method for synthetic images based on convolutional neural networks introducing local image saliency as prediction weights.
• how: The authors calculated local image saliency weights for the whole image and patches using the saliency model in Ref .

SUMMARY

Existing 2D image_quality assessment (IQA) algorithms . . .

 



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