Subjective and objective quality assessment for image restoration: A critical survey

Highlights：

• The difference between the traditional image quality assessment and quality assessment for image restoration was analyzed profoundly.

• For different image restoration scenarios, this paper provides a comprehensive description of the existing i) subjective quality databases, ii) objective quality metrics and iii) two applications of image restoration quality metrics.

• A detailed performance analysis on i) quality assessment of restored images, ii) benchmarking image restoration algorithms and iii) time complexity are given based on public restored image databases.

• The paper outlines the challenges and future trends of subjective and objective quality assessment for image restoration in various aspects.

摘要

•The difference between the traditional image quality assessment and quality assessment for image restoration was analyzed profoundly.•For different image restoration scenarios, this paper provides a comprehensive description of the existing i) subjective quality databases, ii) objective quality metrics and iii) two applications of image restoration quality metrics.•A detailed performance analysis on i) quality assessment of restored images, ii) benchmarking image restoration algorithms and iii) time complexity are given based on public restored image databases.•The paper outlines the challenges and future trends of subjective and objective quality assessment for image restoration in various aspects.

论文关键词：Image restoration,Subjective quality databases,Objective quality metrics,Parameter selection,Benchmarking image restoration algorithms

论文评审过程：Received 6 May 2019, Revised 27 September 2019, Accepted 18 March 2020, Available online 1 April 2020, Version of Record 7 April 2020.