Improvement of the quality evaluation metric of the Tone mapped HDR images

Tone-mapping (TMO) operators thatconvert High Dynamic Range (HDR) images to LowDynamic Range (LDR) provide practical tools forviewing HDR images on standard LDR displays.Different TMOs create different mapped images, and anatural question is one that has the best quality. Tomeasure TMO performance, mapped HDR images aremeasured using quality assessment models. The TMQI(Tone Mapping Quality Index) metric is one of the firstattempts to objectively evaluate the quality of thesemapped images [1]. As a first step, a state of the art onthe metrics proposed to evaluate the objective quality ofHDR images is necessary. He then compares thedeveloped metrics to the TMQI metric. Modificationswill be made to TMQI metrics modules structuralfidelity components and statistical naturalness .Weimprove the parameters of the TMQI which comparewith previously parameters in Spearman and Kendallcorrelation. Also we test these parameters in TMQI-IIthat the same authors proposed. We see that ourparameters is closer that to objective visually.

کلیدواژه ها:

TMQI ، High dynamic range ، tone mapping operator ، image processing ، objective visually