{"title":"基于抑制子单元的高速铁路图像增强非经典感受野模型","authors":"Xinyu Du, Yu Cheng, Zichen Gu","doi":"10.1145/3424978.3425113","DOIUrl":null,"url":null,"abstract":"This paper presents two models for high-speed railway image enhancement. The basic model is inspired by some neuroelectrophysiological experiments on retinal ganglion cell's non-classical receptive field that reveals dis-inhibitory properties of inhibitory subunits. In view of the fact that there are different Gaussian channels in the model of receptive field, we improve the basic model to change the inhibitory effects by means of the potential function designed to show variations of inhibitory intensity adaptively. In order to validate the models, lots of highspeed railway image enhancement experiments are presented to show preferable results obtained by our models.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-classical Receptive Field Models with Inhibitory Subunits for High-speed Railway Image Enhancement\",\"authors\":\"Xinyu Du, Yu Cheng, Zichen Gu\",\"doi\":\"10.1145/3424978.3425113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents two models for high-speed railway image enhancement. The basic model is inspired by some neuroelectrophysiological experiments on retinal ganglion cell's non-classical receptive field that reveals dis-inhibitory properties of inhibitory subunits. In view of the fact that there are different Gaussian channels in the model of receptive field, we improve the basic model to change the inhibitory effects by means of the potential function designed to show variations of inhibitory intensity adaptively. In order to validate the models, lots of highspeed railway image enhancement experiments are presented to show preferable results obtained by our models.\",\"PeriodicalId\":178822,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3424978.3425113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424978.3425113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-classical Receptive Field Models with Inhibitory Subunits for High-speed Railway Image Enhancement
This paper presents two models for high-speed railway image enhancement. The basic model is inspired by some neuroelectrophysiological experiments on retinal ganglion cell's non-classical receptive field that reveals dis-inhibitory properties of inhibitory subunits. In view of the fact that there are different Gaussian channels in the model of receptive field, we improve the basic model to change the inhibitory effects by means of the potential function designed to show variations of inhibitory intensity adaptively. In order to validate the models, lots of highspeed railway image enhancement experiments are presented to show preferable results obtained by our models.