为了提高HDR(high dynamic range)图像的质量，提出一种针对HDR图像滤噪的新方法。首先取得图像组中相同空间位置的点构成像素组；然后利用相机的ITF(intensity transfer function)还原成亮度值；接着通过求解最小二乘问题拟合L-t(luminance-exposure time)直线，并用该直线修正各点亮度值；最后再通过ITF转换成像素值。图像组经滤噪之后，再用于合成HDR图像。实验结果表明，该算法运算量小,能有效去除椒盐型噪声，对高斯型噪声抑制效果明显，优于A.

In order to improve the quality of HDR (high dynamic range) image, a novel noise removal algorithm is proposed. Firstly, pixel value sequences are obtained from the same spatial position in different frames. Secondly, pixel values are transferred to luminance by cameras ITF (intensity transfer function).Thirdly, the regression beeline L-t (luminance-exposure time) is acquired by solving a least-squared error problem, and then it was used to revise the luminance values of the sequence. Finally, the revised luminance values are anti-transferred to pixel values. Synthesis operation is performed after noise removal. Experiment demonstrates that our algorithm is fast. It can eliminate salt & pepper noise clearly, and can reduce Gaussian noise effectively. It is better than A.&E.s (ahmet & erit). These are the prevailing features of our algorithm.