目的 已有的图像运动去模糊研究没有考虑模糊实际上发生在辐照度图像中的问题,也缺少自动检测成块饱和像素的方法。针对这两个问题,提出基于辐照度的运动模糊图像去模糊方法。方法 提出能量累积形成模糊的运动过程与摄像机响应函数相结合的摄像机响应函数求解方法,以及基于块的饱和像素自动检测算法并在此基础上,对辐照度图去除运动模糊和亮度还原,实现清晰原图恢复。结果 对单幅图像的定性去模糊取得了比直接去模糊等前人方法更小的振铃,较好的噪声抑制和清晰图像还原效果;采用信噪比的定量对比也取得较前人方法更高的数值。结论 基于辐照度的方法对图像运动去模糊效率有提升作用。

Objective 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.Method 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. Result 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. Conclusion The proposed method and algorithm results are effective for improving motion deblurring performance.