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.