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A new approach to estimate image blur extent based on wavelet module maximum

机译:基于小波模块极大值的图像模糊程度估计新方法

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An approach to estimate image blur extent based on image edge width and wavelet module maximum was proposed. According to the definition of wavelet module value, three-order spline wavelet was chosen to implement multiscale wavelet edge detection and wavelet edge module values were obtained. To select half of wavelet edge module maximum as threshold to segment blur image and its binary image was obtained. Area and girth of the blur edge of the objects in the blur image were calculated according to pixel statistic principle. Blur edge width of objects in the image was given by area and girth of the transition edge. Image blur extent was determined by blur edge width. Experiment results show that the algorithm is effective and performs better.
机译:提出了一种基于图像边缘宽度和小波模极大值的图像模糊程度估计方法。根据小波模块值的定义,选择三阶样条小波进行多尺度小波边缘检测,得到小波边缘模块值。选择小波边缘模块最大值的一半作为分割模糊图像的阈值,得到其二值图像。根据像素统计原理,计算出模糊图像中物体的模糊边缘的面积和周长。图像中对象的模糊边缘宽度由过渡边缘的面积和周长给出。图像模糊程度由模糊边缘宽度确定。实验结果表明,该算法是有效的,并且性能更好。

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