Jinwei Wang1, *, Yang Zhang1
CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 99-112, 2020, DOI:10.32604/cmc.2020.04373
Abstract In the paper, a convolutional neural network based on quaternion
transformation is proposed to detect median filtering for color images. Compared with
conventional convolutional neural network, color images can be processed in a holistic
manner in the proposed scheme, which makes full use of the correlation between RGB
channels. And due to the use of convolutional neural network, it can effectively avoid the
one-sidedness of artificial features. Experimental results have shown the scheme’s
improvement over the state-of-the-art scheme on the accuracy of color image median
filtering detection. More >
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