  With the prevalence of digital cameras, the number of digital images
increases quickly, which raises the demand for non-manual image quality
assessment. While there are many methods considered useful for detecting
blurriness, in this paper we propose and evaluate a new method that uses a deep
convolutional neural network, which can determine whether an image is blurry or
not. Experimental results demonstrate the effectiveness of the proposed scheme
and are compared to deterministic methods using the confusion matrix.
