Objective Quality Assessment of Tone-Mapped Images
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Abstract
Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal…
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630
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- FWCI
- 18.86
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- 100%
- References
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Authors
2Topics & keywords
Topics
Keywords
- Tone mapping
- Computer science
- Naturalness
- Artificial intelligence
- Image quality
- Measure (data warehouse)
- Visualization
- Computer vision
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