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US08411982B2 Universal blurriness measurement approach for digital imagery 有权
数字图像的通用模糊度测量方法

Universal blurriness measurement approach for digital imagery
Abstract:
Systems and methods of performing quantitative measurements of image blur in digital images and digital image sequences that are computationally efficient, and that employ no reference information in the measurement process. Each of the image blur measurements is performed using a Markov Chain, where a gradient image array is calculated for a pixel array derived from a given digital image, and a transition probability matrix is constructed for the transition probabilities between adjacent elements in the gradient image array. The transition probability data contained in the transition probability matrix can be pooled or otherwise accumulated to obtain a quantitative measurement of image blur in the given digital image.
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