Dynamic range compression is an important function used in modern digital video cameras and displays to improve visual quality of standard dynamic range color images. This chapter presents a real-time implementation of an adaptive contrast-enhancing image dynamic range compression algorithm on a graphics processing unit (GPU) for color image enhancement. To achieve this purpose, an image-dependent nonlinear intensity transfer function is first presented to produce a satisfactory dynamic-range compression result with less color artifacts. The proposed algorithm is then derived by combining the proposed nonlinear intensity transfer function with an existing simultaneous dynamic range compression and local-contrast enhancement (SDRCLCE) algorithm, which is a parallelizable method to compress image dynamic range while enhancing local contrast of output images. Finally, the proposed algorithm is implemented on the GPU by using NVIDIA Compute Unified Device Architecture (CUDA), achieving real-time performance in processing high-resolution color images. The proposed GPU-accelerated color image enhancement method had been implemented on a NVIDIA NVS 5200M GPU. Experimental results show that the proposed GPU implementation gains about 7 times acceleration, including the cost of memory copy between host and device, compared with a LUT-accelerated implementation on an Intel Core i7-3520M CPU for color images with size 1024 × 1024 pixels.