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http://dx.doi.org/10.17661/jkiiect.2017.10.4.288

Parallel-Addition Convolution Algorithm in Grayscale Image  

Choi, Jong-Ho (Department of IoT Electronic Engineering, Kangnam University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.10, no.4, 2017 , pp. 288-294 More about this Journal
Abstract
Recently, deep learning using convolutional neural network (CNN) has been extensively studied in image recognition. Convolution consists of addition and multiplication. Multiplication is computationally expensive in hardware implementation, relative to addition. It is also important factor limiting a chip design in an embedded deep learning system. In this paper, I propose a parallel-addition processing algorithm that converts grayscale images to the superposition of binary images and performs convolution only with addition. It is confirmed that the convolution can be performed by a parallel-addition method capable of reducing the processing time in experiment for verifying the availability of proposed algorithm.
Keywords
Chip Design; Convolution; CNN; Deep Learning; Parallel-Addition; Processing Time;
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  • Reference
1 Y. LeCun, K. Kavukcuoglu, and C. Farabet, "Convolutional networks and applications in vision", International Symposium in Circuits and Systems(ISCAS), IEEE, 2010.
2 Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks", Advances in Neural Information processing Systems 25, NIPS, 2012.
3 H. Lee, R. Grosse, R. Ranganath, and A.Y. Ng., "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations", Proceedings of the 26th Annual International Conference on Machine Learning, ACM, 2009.
4 D. C. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber. Deep neural networks segment neuronal membranes in electron microscopy images. In NIPS, 2012.
5 Tun-Wen Pai and John H.L. Hansen, "Bit Plane Decomposition and Shape Analysis for Morphological Skeletonization," SPIE Vol.1818 Visual Communications and Imag e Processing, 1992.
6 Jongho, Choi and Jongsoo, Choi "A Morp hological Recognition Algorithm of Blob S haped Particles for Automated Visual Insp ection", Journal of KIISE, Vol. 21, No.5, May, 1994.