A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A methodology for quantitative performance evaluation of detection algorithms
IEEE Transactions on Image Processing
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A novel image quality metric based on the characteristics of wavelet coefficients of images is proposed in this paper. An image is decomposed into several levels by means of wavelet transform. The standard deviations of the diagonal details (HH coefficients) at each level increase with the noise standard deviation increasing and decrease with the blurring radius increasing. According to that, an image quality can be measured by analyzing the characteristics of its wavelet coefficients. Neural network is used to realize the algorithm of image quality assessment. The results of experiments demonstrate that the image quality metric is reasonable and the algorithm realization using neural network is feasible and performs well.