Abstract
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.
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Chen, Y., Li, K., Yan, B. (2016). Saliency-Based Objective Quality Assessment of Tone-Mapped Images. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9916. Springer, Cham. https://doi.org/10.1007/978-3-319-48890-5_54
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DOI: https://doi.org/10.1007/978-3-319-48890-5_54
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