同一场景不同曝光图像的配准及HDR图像合成

Alignment of Images with Varying Exposure Level from a Same Scene and HDR Image Construction

摘要: 提出了一种针对同一场景不同曝光的多幅照片图像的配准、恢复光照响应曲线及高动态范围图像合成算法.首先将不同曝光的序列图像中值二值化,利用多尺度思想构造二值图像的金字塔序列并逐级比较,以实现多幅图像间的平移配准和转角配准.从配准后的序列图像中采样,根据最小二乘原理拟合出相机的光照响应曲线,并获得图像中像素值与曝光量之间的映射关系,进而将不同曝光的场景照片图像融合成一幅高动态范围图像.实验结果表明,合成的高动态范围图像效果满意.

Abstract: A method is proposed for aligning the images taken with varying exposure time and fusing them into a high dynamic range image in this paper.The main steps are as follows:First,the images are filtered by a median filter and binarized.Then the resultant binary images are represented by a pyramid,by which the image translation and rotation are carried out level by level for the alignment.By sampling the aligned images,the camera's response curve,that is,the function between the grey value of a pixel and the exposure time,is fitted by the least squares method,and a high dynamic range image is constructed.The experiments show that the constructed high dynamic range images are satisfactory.