Error resilience for block compressed sensing with multiple-channel transmission
學年 108
學期 1
出版（發表）日期 2019-12-24
作品名稱 Error resilience for block compressed sensing with multiple-channel transmission
作品名稱（其他語言）
著者 H.-C. Huang; P.-L. Chen; F.-C. Chang
單位
出版者
著錄名稱、卷期、頁數 Applied Sciences 10(1), 2020
摘要 Compressed sensing is well known for its superior compression performance, in existing schemes, in lossy compression. Conventional research aims to reach a larger compression ratio at the encoder, with acceptable quality reconstructed images at the decoder. This implies looking for compression performance with error-free transmission between the encoder and the decoder. Besides looking at compression performance, we applied block compressed sensing to digital images for robust transmission. For transmission over lossy channels, error propagation or data loss can be expected, and protection mechanisms for compressed sensing signals are required for guaranteed quality of the reconstructed images. We propose transmitting compressed sensing signals over multiple independent channels for robust transmission. By introducing correlations with multiple-description coding, which is an effective means for error resilient coding, errors induced in the lossy channels can effectively be alleviated. Simulation results presented the applicability and superiority of performance, depicting the effectiveness of protection of compressed sensing signals.
關鍵字 block compressed sensing;error resilience;reconstruction
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/117958 )

SDGS 優質教育,產業創新與基礎設施