Challenge Issues and Future Work

  • Yong Ding


The past two decades have witnessed significant progresses of image quality assessment (IQA) and led it to a comparatively mature stage, yet there are still many challenges that researchers are yet to overcome. On one hand, there are problems that have always been troubling and demanding attention, e.g., the principle of subjective study, how to find image features that are quality-aware, etc. On the other hand, the attention of researchers has been shifted to some novel problems that are not regarded as serious before, e.g., the application scenarios, the computational efficiency. In this chapter, we try our best to list the new and old issues that are deemed most challenging, as well as give some expectations for the nearer and further future.


Subjective study Quality-aware features Machine learning Application Computational efficiency 

Copyright information

© Zhejiang University Press, Hangzhou and Springer-Verlag GmbH Germany 2018

Authors and Affiliations

  1. 1.Zhejiang UniversityHangzhouChina

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