图像分块融合算法速度优化处理研究

Optimization of image block fusion algorithm in speed

相比于自然界现阶段人们所持有的取像设备有着较低的动态范围,在某种曝光强度下,自然界的所有细节很难被完全抓取,图像的部分细节还是模糊的.基于对此现象的认识,本文通过将不同曝光度图像合成的方法,获取到了质量较高的融合图像,并在保证图像效果的基础上,通过加窗运算的方式,提高了算法在图像分块融合处理上的执行速度,保证了算法效率.

Compared with nature,photographic equipment held by people at present stage has a low dynamic range. Under some kinds of exposure intensity,all the details of the nature are difficult to fully grasping. Parts of the image details are fuzzy. Based on the knowledge of the phenomenon,high quality image with fusion details by using the method of fusion of different exposure images has been achieved in the dissertation. Besides,on the basis of guaranteeing the image effects,the method by adding window operation which has optimized the speed of the algorithm implementation to ensure the efficiency of algorithm is proposed and verified in the dissertation.