In this paper, we propose a novel halo-free local tone mapping algorithm using
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
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.