會議論文
| 學年 | 110 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2022-03-07 |
| 作品名稱 | Quadtree-based block compressed sensing for reliable transmission applications |
| 作品名稱（其他語言） | |
| 著者 | H.-C. Huang, F.-C. Chang, Y.-Y. Lu, and P.-L. Chen |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) |
| 會議地點 | Osaka, Japan |
| 摘要 | Reliable transmission of compressed media forms an inevitable part in digital communication systems. Compressed media are vulnerable to channel errors, which may cause severe degradation to reconstructed results. Hence error control techniques can work with compression schemes to help alleviate reconstructed image quality. We choose block compressed sensing for compression, and we expect the inherent characteristics of images may be helpful for enhancing reconstructed results. Quadtree decomposition can classify the image into smooth or active areas, which follows the inherent characteristics. After transmitting compressed media, at the decoder, we apply error protection and error regression schemes based on quadtree decomposition with the expectation of enhanced results. Simulations show that proposed method can help to enhance reconstructed image quality. |
| 關鍵字 | |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20220307~20220309 |
| 通訊作者 | |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123450 ) |