Jooyong Choi, Suk-ju Kang, Minjoo Lee, Jun-Young Park, Jiwoong Lee
{"title":"Sequential Compression Using Efficient LUT Correlation for Display Defect Compensation","authors":"Jooyong Choi, Suk-ju Kang, Minjoo Lee, Jun-Young Park, Jiwoong Lee","doi":"10.1109/ISOCC50952.2020.9332953","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel sequential compression method for the coefficient look-up table (LUT) for compensation of display panel defects. First, the regression LUT coefficient data for defect compensation is rearranged as the display ratio. It is split and compressed into sub-blocks to utilize the correlation of the rearranged data. Then, to further increase the compression ratio, the initially compressed data is compressed again through the differential coding-based compression. In the performance evaluation, the proposed method has the same loss as the existing compression method, while increasing the compression ratio of up to 46.9%.","PeriodicalId":270577,"journal":{"name":"2020 International SoC Design Conference (ISOCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC50952.2020.9332953","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
In this paper, we propose a novel sequential compression method for the coefficient look-up table (LUT) for compensation of display panel defects. First, the regression LUT coefficient data for defect compensation is rearranged as the display ratio. It is split and compressed into sub-blocks to utilize the correlation of the rearranged data. Then, to further increase the compression ratio, the initially compressed data is compressed again through the differential coding-based compression. In the performance evaluation, the proposed method has the same loss as the existing compression method, while increasing the compression ratio of up to 46.9%.