@article{(Open Science Index):https://publications.waset.org/pdf/4055,
	  title     = {Enhancing Multi-Frame Images Using Self-Delaying Dynamic Networks},
	  author    = {Lewis E. Hibell and  Honghai Liu and  David J. Brown},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents the use of a newly created network
structure known as a Self-Delaying Dynamic Network (SDN) to
create a high resolution image from a set of time stepped input
frames. These SDNs are non-recurrent temporal neural networks
which can process time sampled data. SDNs can store input data
for a lifecycle and feature dynamic logic based connections between
layers. Several low resolution images and one high resolution image
of a scene were presented to the SDN during training by a Genetic
Algorithm. The SDN was trained to process the input frames in order
to recreate the high resolution image. The trained SDN was then used
to enhance a number of unseen noisy image sets. The quality of high
resolution images produced by the SDN is compared to that of high
resolution images generated using Bi-Cubic interpolation. The SDN
produced images are superior in several ways to the images produced
using Bi-Cubic interpolation.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {12},
	  year      = {2007},
	  pages     = {4026 - 4031},
	  ee        = {https://publications.waset.org/pdf/4055},
	  url   	= {https://publications.waset.org/vol/12},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 12, 2007},
	}