HE(Histogram Equalization) is a very popular technique for enhancing the contrast of an image. However, this method has side-effect such as washed out appearance and false contouring due to the significant change in brightness. To solve these problems, many algorithms have been proposed. In this paper, we introduce DRSHE (Dynamic Range Separate Histogram Equalization) which has excellent performance for above-mentioned issues. DRSHE offers reasonable region for low frequency histogram components to prevent excessive dynamic range compression. In this paper, we are focused on optimization of DRSHE for real-time implementation. Decision for transfer function was simplified by using gain/offset table and significantly reduced memory size of transfer function was significantly reduced. We implemented optimized DRSHE using TI dsp processor(DM6446) and we confirmed that proposed method has better performance on execution time and memory usage.