期刊論文
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 ) |