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JBE, vol. 24, no. 2, pp.217-226, March, 2019


Image Filtering Method for an Effective Inverse Tone-mapping

Rahoon Kang, Bumjun Park, and Jechang Jeong

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In this paper, we propose a filtering method that can improve the results of inverse tone-mapping using guided image filter. Inverse tone-mapping techniques have been proposed that convert LDR images to HDR. Recently, many algorithms have been studied to convert single LDR images into HDR images using CNN. Among them, there exists an algorithm for restoring pixel information using CNN which learned to restore saturated region. The algorithm does not suppress the noise in the non-saturation region and cannot restore the detail in the saturated region. The proposed algorithm suppresses the noise in the non-saturated region and restores the detail of the saturated region using a WGIF in the input image, and then applies it to the CNN to improve the quality of the final image. The proposed algorithm shows a higher quantitative image quality index than the existing algorithms when the HDR quantitative image quality index was measured.


Keyword: Inverse Tone-mapping, HDR, CNN, Deep Learning, Guided Image Filter

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