Existing motion deblurring methods fail to consider the fact that blurring occurs in irradiance images. Thus

an efficient deblurring method for reducing the effect of naturally appearing saturated pixel blocks remains lacking. To overcome these two limitations

this study proposes an irradiance-based motion deblurring algorithm. A new estimation method for the camera response function (CRF) that converts irradiance to intensity is proposed.Intensity reflects the energy accumulated during the motion process of capturing the blurred image. A block-based detection algorithm for saturated pixels is presented.This algorithm can automatically detect saturated pixels. The CRF estimation method and saturated pixel detection algorithm are incorporated into the proposed deblurring method to achieve robust irradiance-based motion deblurring without the effect of saturated pixels. Qualitative experiments for reveal that the proposed method can obtain single-image deblurring obtain latent images more accurately with less ringing and better noise suppression than existing methods. Quantitative experiments return higher peak signal-to-noise ratios than existing methods. The proposed method and algorithm results are effective for improving motion deblurring performance.