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Overview of High-Dynamic-Range Image Quality Assessment.

Yue Liu1, Yu Tian1, Shiqi Wang1

  • 1Department of Computer Science, City University of Hong Kong, Hong Kong, China.

Journal of Imaging
|October 25, 2024
PubMed
Summary

High-Dynamic-Range (HDR) image quality assessment (IQA) faces challenges. This survey reviews subjective databases and objective metrics, highlighting needs for larger databases and more generalizable algorithms for robust HDR IQA.

Keywords:
high dynamic rangeobjective image quality assessmentsubjective image quality assessment

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Area of Science:

  • Computer Vision
  • Image Processing
  • Perception

Background:

  • High-Dynamic-Range (HDR) imaging offers authentic visual experiences, crucial in security, multimedia, and biomedical fields.
  • Assessing HDR image quality is challenging due to extensive dynamic range and detail.
  • Current research focuses on subjective databases and objective metrics for HDR Image Quality Assessment (IQA).

Purpose of the Study:

  • To provide a comprehensive survey of existing subjective and objective HDR IQA methods.
  • To identify limitations in current HDR IQA methodologies.
  • To suggest future research directions for improved HDR IQA.

Main Methods:

  • Systematic review of 7 subjective HDR IQA databases.
  • Review of 12 objective HDR IQA metrics.
  • Statistical analysis of 9 IQA algorithms with 3 perceptual mapping functions.

Main Results:

  • Identified a need for increased size and diversity in subjective HDR IQA databases.
  • Highlighted the necessity for more generalizable perceptual mapping and feature extraction in objective algorithms.
  • Evaluated the performance of existing HDR IQA algorithms and perceptual models.

Conclusions:

  • Current HDR IQA subjective databases require expansion to cover more distortion types.
  • Objective HDR IQA algorithms need enhanced robustness and applicability through better generalization.
  • This survey serves as a resource for researchers, outlining current limitations and future research avenues.