Wang et al., 2019 - Google Patents
Blur image identification with ensemble convolution neural networksWang et al., 2019
- Document ID
- 14128417509481822316
- Author
- Wang R
- Li W
- Zhang L
- Publication year
- Publication venue
- Signal Processing
External Links
Snippet
Blur image classification is a key step to image recovery in image processing. In this article, an ensemble convolution neural network (CNN) is designed to identify and classify four types of blur images: defocus blur, Gaussian blur, haze blur, and motion blur. To achieve …
- 230000001537 neural 0 title abstract description 25
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- G06K9/46—Extraction of features or characteristics of the image
- G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
- G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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