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 en_US
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 JPN
公開徵稿
出版型式
出處
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118406 )

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