https://scholars.lib.ntu.edu.tw/handle/123456789/580964
標題: | Deep Neural Network and Weighted Ridge Regression Based Pixel Prediction Technique | 作者: | Chang J.-M JIAN-JIUN DING |
關鍵字: | Deep neural networks; Forecasting; Image compression; Pixels; Regression analysis; Lossless image compression; Prediction techniques; Ridge regression; Signal prediction; Neural networks | 公開日期: | 2020 | 來源出版物: | 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 | 摘要: | Lossless image compression consists of two processes, pixel prediction and residue encoding. Recently, deep neural network (DNN) has been widely adopted in signal prediction. In this work, we apply a DNN architecture together with the information of surrounding pixels weighted by their similarities for pixel prediction. Simulations show that, with the proposed algorithm, the pixels can be predicted more precisely, which is very helpful for lossless image compression. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098462889&doi=10.1109%2fICCE-Taiwan49838.2020.9258256&partnerID=40&md5=9066c87a494a1d744e8482bdcc1ee133 https://scholars.lib.ntu.edu.tw/handle/123456789/580964 |
DOI: | 10.1109/ICCE-Taiwan49838.2020.9258256 |
顯示於: | 電機工程學系 |
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