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Image Quality Assessment of Enriched Tonal Levels Images
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics. Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0003-3887-5972
2017 (English)In: Image and Graphics 9th International Conference, ICIG 2017, Shanghai, China, September 13-15, 2017, Revised Selected Papers, Part II / [ed] Yao Zhao, Xiangwei Kong, David Taubman, Springer, 2017, p. 134-146Conference paper, Published paper (Refereed)
Abstract [en]

The quality assessment of a high dynamic image is a challenging task. The few available no reference image quality methods for high dynamic range images are generally in evaluation stage. The most available image quality assessment methods are designed to assess low dynamic range images. In the paper, we show the assessment of high dynamic range images which are generated by utilizing a virtually flexible fill factor on the sensor images. We present a new method in the assessment process and evaluate the amount of improvement of the generated high dynamic images in comparison to original ones. The results show that the generated images not only have more number of tonal levels in comparison to original ones but also the dynamic range of images have significantly increased due to the measurable improvement values.

Place, publisher, year, edition, pages
Springer, 2017. p. 134-146
Keywords [en]
Image quality assessment, High dynamic range image, Tonal levels, Tone mapping, Fill factor
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-15709DOI: 10.1007/978-3-319-71598-8_13ISBN: 978-3-319-71597-1 (print)OAI: oai:DiVA.org:bth-15709DiVA, id: diva2:1170292
Conference
9th International Conference on Image and Graphics, Shanghai
Available from: 2018-01-02 Created: 2018-01-02 Last updated: 2018-01-03Bibliographically approved

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Zhao, JieWen, Wei

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