{"title":"一个强大的,具有成本效益的后处理器,用于增强去马赛克相机图像","authors":"Rastislav Lukac , Konstantinos N. Plataniotis","doi":"10.1016/j.rti.2005.03.002","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents an efficient post-processing/enhancement solution capable of reducing visual artifacts introduced during the image demosaicking process. Edge-sensing weights and the original color filter array data are used to detect structural elements in the captured image, and correct color components generated by the demosaicking process using adaptive, spectral model-based enhancement operations. The solution produces excellent results in terms of both objective and subjective image quality measures.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"11 2","pages":"Pages 139-150"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2005.03.002","citationCount":"20","resultStr":"{\"title\":\"A robust, cost-effective post-processor for enhancing demosaicked camera images\",\"authors\":\"Rastislav Lukac , Konstantinos N. Plataniotis\",\"doi\":\"10.1016/j.rti.2005.03.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper presents an efficient post-processing/enhancement solution capable of reducing visual artifacts introduced during the image demosaicking process. Edge-sensing weights and the original color filter array data are used to detect structural elements in the captured image, and correct color components generated by the demosaicking process using adaptive, spectral model-based enhancement operations. The solution produces excellent results in terms of both objective and subjective image quality measures.</p></div>\",\"PeriodicalId\":101062,\"journal\":{\"name\":\"Real-Time Imaging\",\"volume\":\"11 2\",\"pages\":\"Pages 139-150\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.rti.2005.03.002\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Real-Time Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1077201405000148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Real-Time Imaging","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1077201405000148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robust, cost-effective post-processor for enhancing demosaicked camera images
This paper presents an efficient post-processing/enhancement solution capable of reducing visual artifacts introduced during the image demosaicking process. Edge-sensing weights and the original color filter array data are used to detect structural elements in the captured image, and correct color components generated by the demosaicking process using adaptive, spectral model-based enhancement operations. The solution produces excellent results in terms of both objective and subjective image quality measures.