This paper proposes a Tone Mapping (TM) approach converting a High Dynamic Range (HDR) image into a Low Dynamic Range (LDR) image while preserving as much information of the HDR image as possible to ensure a good LDR image visual quality. Multiresolution approach with approximation and details are separated, and weighted by entropy, and used an optimized contrast parameter. The parameter relies on all accounts of luminance average themselves in order to enhance contrast as much as possible. Then, the pixel's distribution of the coarse reconstructed LDR image is then adjusted according to a perceptual quantizer with respect to the human visual system using a piecewise linear function. Simulation results provide good results, both in terms of visual quality and TMQI metric, compared to existing competitive TM approaches.