A Feature-Based Quality Metric for Tone Mapped Images
| Autor: | Dirk V. Arnold, Stephen Brooks, Xihe Gao |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
business.industry Computer science Image quality media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Experimental and Cognitive Psychology Pattern recognition 02 engineering and technology Tone mapping Theoretical Computer Science Tone (musical instrument) Feature (computer vision) Distortion Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Contrast (vision) 020201 artificial intelligence & image processing Computer vision Perceptual Distortion Artificial intelligence business media_common |
| Zdroj: | ACM Transactions on Applied Perception. 14:1-11 |
| ISSN: | 1544-3965 1544-3558 |
| DOI: | 10.1145/3129675 |
| Popis: | With the development of high-dynamic-range images and tone mapping operators comes a need for image quality evaluation of tone mapped images. However, because of the significant difference in dynamic range between high-dynamic-range images and tone mapped images, conventional image quality assessment algorithms that predict distortion based on the magnitude of intensity or normalized contrast are not suitable for this task. In this article, we present a feature-based quality metric for tone mapped images that predicts the perceived quality by measuring the distortion in important image features that affect quality judgment. Our metric utilizes multi-exposed virtual photographs taken from the original high-dynamic-range images to bridge the gap between dynamic ranges in image feature analysis. By combining measures for brightness distortion, visual saliency distortion, and detail distortion in light and dark areas, the metric measures the overall perceptual distortion and assigns a score to a tone mapped image. Experiments on a subject-rated database indicate that the proposed metric is more consistent with subjective evaluation results than alternative approaches. |
| Databáze: | OpenAIRE |
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