Abstract
In this paper, we propose a method for evaluating and/or determining the blurred quantity and range of the degraded image by the texture feature quantities of the coefficients in wavelet transform which decomposes into the multiple hierarchical resolution level. The evaluation process of the proposal method is composed of two steps. The first stage is decomposition into multiple hierarchical components by multi-resolution analysis based on wavelet transform. The next stage is calculation of the texture feature quantities from co-occurrence matrix of the decomposed components. Then the blurred quantity and range are evaluated and/or determined by the texture feature quantities. When there is the standard image of known blurred quantity, the blurred level and/or range of the image are evaluated from the comparison with the standard image. On the other, when there is not the standard image, the level and/or range of the degraded image are estimated by the ratio of the change for the addition of the locale degradation. We confirmed that the texture feature quantities in the wavelet coefficient of degraded image was effective to evaluate the image degradation level. And then the contrast quantity within texture feature quantities was most suitable for the blurred quantity evaluation from the experiments which applied this proposal method in 4 kinds of images. We also confirmed that the proposal method was effective in evaluating the degraded image under the noise existence.
