CAJ | 학술논문

针对矩阵恢复用于红外偏振图像配准，速度较慢的劣势，提出了一种用于单幅图像快速配准的算法。选取上一次对相同背景图像配准后，得到的一列低秩向量为已知条件，将目标函数减少为求稀疏矩阵的1范数，通过迭代更新得到单幅相同场景下，目标存在一定变化或偏移的图像的配准参数，明显提高了配准的速度。实验结果表明，该算法配准变换参数误差小于0.02像素，单幅图像配准仅需3.31 s，且对噪声不敏感。
침대구진회복용우홍외편진도상배준，속도교만적열세，제출료일충용우단폭도상쾌속배준적산법。선취상일차대상동배경도상배준후，득도적일렬저질향량위이지조건，장목표함수감소위구희소구진적1범수，통과질대경신득도단폭상동장경하，목표존재일정변화혹편이적도상적배준삼수，명현제고료배준적속도。실험결과표명，해산법배준변환삼수오차소우0.02상소，단폭도상배준부수3.31 s，차대조성불민감。
Aimed at the disadvantage that speed of infrared polarization image registration method based on matrix recovery is slow, a method used for fast registration of one image is put forward. A low-rank column which is acquired after last registration can be regarded as known condition and target function can be decreased to the 1 norm of sparse matrix. Registration parameter was achieved by one image whose target has changed or offset in the same scene after iterative updating. The speed of registration is highly increased. The result of experiment indicates that error of its registration parameters is less than 0.02 pixel. Running time of one image registration is 3.31 s, and the method is not sensitive to noise.