Abstract
In this paper, we propose a novel halo-free local tone mapping algorithm using L 0 smoothing filter. Our method imitates the adaptation of the mechanism of the human visual system (HVS), which ensures a strong adaptability to the scenes of different dynamic ranges. Firstly, we will apply a global histogram adjustment method to the luminance image, which is a simple initial global adaptation; secondely, we will demonstrate how the luminance image is remapped by a retinex-based local tone mapping method. During the estimation of illumination, a L 0 smoothing filter is used instead of Gaussian filter to compress the contrast while reducing the halo artifacts; and finally, through the color correction, we will show how the tone-mapped RGB image is obtained. According to our experimental results, the proposed method outperforms the state-of-art tone mapping algorithms in color rendition and detail preservation.
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Tan, L., Liu, X., Xue, K. (2014). A Retinex-Based Local Tone Mapping Algorithm Using L 0 Smoothing Filter. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Huang, K. (eds) Advances in Image and Graphics Technologies. IGTA 2014. Communications in Computer and Information Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45498-5_5
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DOI: https://doi.org/10.1007/978-3-662-45498-5_5
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