关键词: 图像增强, 多尺度Retinex, 计算统一设备架构

Abstract: The Multi-Scale Retinex (MSR) image enhancement algorithm can produce best performance in most cases, but the computation load is very huge especially for large image. In this paper, an efficient approach was proposed to accelerate MSR image enhancement speed on Graphic Processing Unit (GPU) via Compute Unified Device Architecture (CUDA), and time consuming modules, such as multi-scale Gaussian filtering, log-differencing and dynamic compressing, were implemented in GPU. The experimental results show that the proposed method can reduce the time consumption significantly. As the image size increases, it can get a more than 100x speedup.

Key words: image enhancement, Multi-Scale Retinex (MSR), Compute Unified Device Architecture (CUDA)