@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}, }