Error resilience with adaptive measurement rate for block-based compressed sensing
學年 111
學期 1
發表日期 2022-10-18
作品名稱 Error resilience with adaptive measurement rate for block-based compressed sensing
作品名稱（其他語言）
著者 H.-C. Huang; F.-C. Chang; P.-L. Chen
作品所屬單位
出版者
會議名稱 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)
會議地點 Osaka, Japan
摘要 Block-based compressed sensing has emerged as a newly developed compression technique in the last couple of years. With the concepts from the rate-distortion theory, block-based compressed sensing aims at reducing the distortion while keeping the constant rate. In addition, transmission of compressed data forms an inevitable part in multimedia communications. We would like to explore the error resilient transmission from both the encoder and the decoder. At the encoder, we classify the original image into smooth and active regions, and set the measurement rates adaptively to both regions in order to keep the weighted measurement rate as a constant. At the decoder, we expect there might be effects to compressed media to cause quality degradation to the decoder. And we apply error protection techniques to the smooth and active regions in order to reach the goal of error resilient transmission. Simulation results have demonstrated the effects with adaptive measurement rates, and the capability with the error protection and regression techniques.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20221018~20221021
通訊作者
國別 JPN
公開徵稿
出版型式
出處 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123440 )

SDGS 優質教育,產業創新與基礎設施