Abstract
The devices used for displaying the images need to have a mapping between luminance values of the image to be displayed and characteristics of the device. It has been more common to acquire High-Dynamic Range (HDR) images using the available capturers. In order to match the luminance characteristics between captured image and display device, tone mapping operators will be used. Tone mapping operators convert HDR images to Low-Dynamic Range (LDR) images. A new TMO has been proposed in this paper. Two different HDR images having different dynamic ranges and different sizes have been used for applying the proposed model. To validate the proposed model, the images have also been processed with existing TMOs such as Raman and Drago. The parameters derived for comparison are mean, MSE, PSNR, mPSNR, and Luminance. The results presented in this paper prove that the performance of the proposed TMO is better in producing LDR image with enhanced quality to show on conventional LDR display device.
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Neelima, N., Ravi Kumar, Y., Ravindra, K. (2018). A Two-Stage Hybrid Operator for Tone-Mapping HDR Images. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-8633-5_39
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DOI: https://doi.org/10.1007/978-981-10-8633-5_39
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