Abstract
High Dynamic Range (HDR) imaging has been deployed in many multimedia devices recently. Various tone mapping operators (TMOs) have been developed which transform HDR radiance to the display devices. The objective of this study is to develop reference images for subjective evaluation of TMOs and full reference image quality metrics. For this purpose two psychophysical experiments were conducted. In the first experiment, high quality reference images were obtained containing the right features of colourfulness, sharpness and contrast. The reference images were used to evaluate the TMOs in subjective and objective assessments. In the second experiment, five popular TMOs were evaluated subjectively. It was found that Reinhard’s photographic tone reproduction based local TMO performed best among the five TMOs. Three full reference image quality metrics SSIM, CIELAB (2:1) and S-CIELAB were used to evaluate structural similarity and colour image quality of those TMOs. Their results showed that the three metrics agreed well with the visual results.
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References
Mantiuk R, Daly S, Kerofsky L (2008) Display adaptive tone mapping. ACM Trans Graph (TOG) 27(3):68
Yoshida A, Blanz V, Myszkowski K, Seidel HP (2005) Perceptual evaluation of tone mapping operators with real-world scenes. In: Electronic imaging, international society for optics and photonics, pp 192–203
Luo MR (2002) CIE Division 8: a servant for the imaging industry. In: Colour science and imaging technologies, international society for optics and photonics, vol 4922, p 51
Wang Z, Bovik AC, Sheikh HR et al (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612
Weber AG (1997) The USC-SIPI image database version 5, USC-SIPI report, 315, 1
Franzen R (1999) Kodak lossless true color image suite. http://r0k.us/graphics/kodak, 4
Drago F, Myszkowski K, Annen T et al (2003) Adaptive logarithmic mapping for displaying high contrast scenes. Comput Graph Forum 22(3):419
Reinhard E, Stark M, Shirley P et al (2002) Photographic tone reproduction for digital images. ACM Trans Graph (TOG) 21(3):267
Reinhard E, Devlin K (2005) Dynamic range reduction inspired by photoreceptor physiology. IEEE Trans Vis Comput Graph 13
Schlick C (1995) Quantization techniques for visualization of high dynamic range pictures. Photorealistic rendering techniques. Springer, Berlin, Heidelberg, pp 7–20
Kaur M, Kaur J, Kaur J (2011) Survey of contrast enhancement techniques based on histogram equalization. Int J Adv Comput Sci Appl 2(7)
Reza AM (2004) Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement. J VLSI Signal Process Syst Signal Image Video Technol 38(1):35
Torgerson WS (1958) Theory and methods of scaling, pp 205–286
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Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the College of Optical Science and Engineering, Zhejiang University and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Mehmood, I., Khan, M.U., Mughal, M.F., Luo, M.R. (2020). Reference Images Development for Evaluation of Tone Mapping Operators. In: Zhao, P., Ye, Z., Xu, M., Yang, L. (eds) Advanced Graphic Communication, Printing and Packaging Technology. Lecture Notes in Electrical Engineering, vol 600. Springer, Singapore. https://doi.org/10.1007/978-981-15-1864-5_18
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DOI: https://doi.org/10.1007/978-981-15-1864-5_18
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