教師資料查詢 | 類別: 會議論文 | 教師: 張誠 Feng-cheng Chang (瀏覽個人網頁)

標題:Error control and regression for block compressed sensing of color images
學年108
學期1
發表日期2019/10/15
作品名稱Error control and regression for block compressed sensing of color images
作品名稱(其他語言)
著者H.-C. Huang;Y.-H. Chen;F.-C. Chang; P.-L. Chen
作品所屬單位
出版者
會議名稱2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)
會議地點Osaka, Japan
摘要Transmission of multimedia contents with block compressed sensing (BCS) would be of great value for practical applications. Compressed data are vulnerable to channel errors during transmission, and effective means to protect them would be helpful to the decoding procedures. We choose multiple description coding (MDC) for error control in advance, and apply the least absolute shrinkage and selection operator (LASSO) for training the received data to alleviate the effect caused by channel errors. We also consider the inherent characteristics between color planes of original image to enhance the reconstruction. Simulations have depicted the advantages with these error control schemes for BCS.
關鍵字block compressed sensing;color planes; multiple description coding;least absolute shrinkage and selection operator
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20191015~20191018
通訊作者
國別日本
公開徵稿
出版型式
出處
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