Replicants the Tone for Real Images

Abstract

Excessive dynamic range (HDR) is a method that allows a terrific dynamic range of luminance between the lightest and darkest region of an picture. For video compression, the HDR series is reconstructed by using inverse tone-mapping a compressed low dynamic range (LDR) model of the unique HDR content material. We display that the ideal desire of a Tone-mapping operator (TMO) can significantly improve the reconstructed HDR quality. It is united state side to compress a large range of pixel luminance in to smaller range that is suitable for display on devices with limited dynamic range. We formulate a numerical optimization problem to find the tone-curve that minimizes the expected mean square error (MSE) in the reconstructed HDR sequence. We also develop a simplified model that reduces the computational complexity of the optimization problem to a closed-form solution. It is also shown that the LDR picture fine due to the proposed techniques suits that produced by using perceptually-primarily based TMOs.