{"title":"Quasi-bi-quadratic Interpolation for LUT Implementation for LCD TV","authors":"H. Park, G. Seo, Chulhee Lee","doi":"10.5220/0001807600700073","DOIUrl":null,"url":null,"abstract":"Overdriving schemes are used to improve the response time of LCD (Liquid Crystal Display). Typically they are implemented by using LUT (Look-Up Table) within an image processor. However, the size of LUT is limited by the physical memory size and system cost. In actual implementation of LUT, final overdriving values are obtained using interpolation methods. However, interpolation errors may cause some display artifacts and response time delay. In this paper, we present an improved method for LUT implementation using linear interpolation and piecewise least-square polynomial regression to reduce such errors. The proposed method improves LUT performance with reduced memory requirements.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Imaging Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0001807600700073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Overdriving schemes are used to improve the response time of LCD (Liquid Crystal Display). Typically they are implemented by using LUT (Look-Up Table) within an image processor. However, the size of LUT is limited by the physical memory size and system cost. In actual implementation of LUT, final overdriving values are obtained using interpolation methods. However, interpolation errors may cause some display artifacts and response time delay. In this paper, we present an improved method for LUT implementation using linear interpolation and piecewise least-square polynomial regression to reduce such errors. The proposed method improves LUT performance with reduced memory requirements.