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The Discrete Cosine Transform (DCT) exposes features of an image that are not evident in the original image's spatial domain. This brief contribution proposes a Convolutional Neural Network architecture that… Click to show full abstract
The Discrete Cosine Transform (DCT) exposes features of an image that are not evident in the original image's spatial domain. This brief contribution proposes a Convolutional Neural Network architecture that combines features from the spatial domain and the DCT domain to improve image classification performance with negligible overhead.
Keywords:
cosine transform;
neural networks;
discrete cosine;
convolutional neural
Journal Title: IEEE Transactions on Computers
Year Published: 2022
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Journal Title: IEEE Transactions on Computers
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!