| 摘要 |
A method of analyzing an image to determine the presence or absence of noise uses a first mask image, using edge detection, and a second mask image by applying a filter, and combines the first and second masks to produce a noise image. The noise image is then processed to emphasize small regions of similar luminance and to de-emphasize larger regions of similar luminance. An average of the processed noise image is determined and compared with a threshold to determine whether or not to assert that an image is noisy. The filter could be a 2D second derivative filter or a Laplace filter. The process of emphasizing regions might comprise assigning a greater probability to speckles of one pixel, and lower probabilities to speckles of more than one pixel. The method is aimed at automatically distinguishing between good and bad content. |
