基于CUDA平台的DR图像增强处理加速算法

A New Approach to Accelerate DR Image Enhancement Based on CUDA

针对DR图像的分辨率高,增强算法的运行时间较长,提出了一种基于CUDA平台的GPU加速方法,它利用GPU的并行运算功能来完成塔型算法的分解和重建环节中的大量卷积运算。实验表明,该方法能快速准确地完成多尺度塔型增强算法的运算,加速效果非常明显。

Multiscale pyramid image enhancement algorithm is an usual way to enhance the Digital Radiography （DR） images. However, the process of enhancement takes much of time because of the fine resolution of DR images. A new method of accelerating DR image enhancement based on Compute Unified Device Architecture （CUDA） is presented in this paper. This method completes a large amount of convolution operations in spatial domain involved in the multiscale pyramid image enhancement algorithm by using the Graphic Processing Unit （GPU）. The experimental results show that the proposed method is very efficient for accelerating DR image enhancement.