In this paper we present a faster and noise-free implementation of the RACE algorithm. RACE has mixed characteristics between the famous Retinex model of Land and McCann and the ACE color-correction algorithm. The original random spray-based RACE implementation suffers from two main problems: its computational time and the presence of noise. Here we will show that it is possible to adapt a technique recently proposed by Bani´cBani´c et al. to the RACE framework in order to drastically decrease the computational time and to avoid noise generation. The new implementation will be called SRACE, for smart-RACE.