基于一致性敏感哈希块匹配的HDR图像去伪影融合方法

高动态范围(High dynamic range, HDR)图像成像技术的出现, 为解决由于采集设备动态范围不足而导致现有数字图像动态范围有限的问题提供了一条切实可行的思路.合成高动态范围图像的过程中因相机抖动或运动物体所造成的模糊和伪影问题, 可通过块匹配对多曝光图像序列进行去伪影融合加以解决.但对于具有复杂运动变化的真实场景, 现有的去伪影融合方法准确度和效率仍存在不足.为此, 本文结合相机响应函数和一致性敏感哈希提出了一种高动态图像去伪影融合方法.仿真结果表明, 该方法有效降低了计算复杂度, 具有较好的鲁棒性, 在有效去除伪影的同时提升了高动态范围图像质量.

High-Dynamic-Range Image De-ghosting Fusion Method Based on Coherency Sensitive Hashing Patch-Match

The emergence of high dynamic range (HDR) image imaging technology provides a practical idea for solving the problem of limited dynamic range of the existing digital images which caused by the insu–cient dynamic range of the acquisition device. In the process of synthesizing high dynamic range images, the problem of blurring and artifacts caused by camera shake or moving objects can be solved by patchmatch in multi-exposure image sequences de-ghosting fusion. However, the accuracy and e–ciency of existing de-ghosting fusion methods are still poor for real scenes with complex motion changes. To this end, our paper presents a high dynamic image de-ghosting fusion method based on camera response function and coherency sensitive hashing. The simulation results show that the proposed method can efiectively reduce the computational complexity and has good robustness, and enhance the quality of high dynamic range image while efiectively removing artifacts.