A computational pixelization model based on selective attention for artificial visual prosthesis

Authors:
Ruonan Li;Xudong Zhang;Guangshu Hu
Affiliations:
Department of Electronic Engineering, Tsinghua University, Beijing, China;Department of Electronic Engineering, Tsinghua University, Beijing, China;Department of Biomedical Engineering, Tsinghua University, Beijing, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

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Abstract

Inspired by the ongoing research on artificial visual prosthesis, a novel pixelization visual model based on the selection of local attention-drawing features is proposed, and a subjective scoring experiment as a cognitive assessment is designed to evaluate the performance of the model. The results of the experiment reveal that the model can accentuate the areas with prominent features in the original image, so as to give observers a subjective perception of rich visual information. Thus, the model will provide a new approach for future research.