Saliency-Based Objective Quality Assessment of Tone-Mapped Images
| Autor: | Ke Li, Bo Yan, Yinchu Chen |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Low dynamic range
business.industry Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Fidelity 02 engineering and technology Objective quality Tone (musical instrument) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Saliency map Quality (business) Computer vision Artificial intelligence Subjective quality business High dynamic range ComputingMethodologies_COMPUTERGRAPHICS media_common |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319488899 PCM (1) |
| Popis: | High Dynamic Range HDR image is an imaging or photographic technique that can keep more intensity information than Low Dynamic Range LDR image. Based on the features of HDR images, we describe a technique for the saliency detection of HDR images, and further combine it for objectively assessing the quality of Tone-mapping operators. We propose a Tone-mapping quality index which is more similar to subjective quality scores ranked by human being. We use saliency map of the HDR images to adjust the differences of structural fidelity. Experimental results demonstrate that our proposed method can get relatively high score by comparing with the subjective scores. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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