.png){kind=icon}
.png){kind=icon}
Return
Adaptive reconstruction based multiple description coding with randomly offset quantizations
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-018-5857-0.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, we propose a novel multiple description image coding (MDC) method,which can be called adaptive reconstruction based multiple description coding with randomly offset quantizations (ARMDROQ). In this scheme, two prediction modes are proposed, which are be defined as mode 1 and mode 2 respectively. Specifically, in the proposed ARMDROQ scheme, the input image is partitioned into M subsets and obtaining M descriptions. Then one subset of each description is encoded and decoded directly, while others are predicted encoded and decoded by using adaptive prediction modes. The experimental results show that the proposed scheme achieves better performance than other existing methods.
Keywords:
Multiple description coding
Adaptive reconstruction
Prediction mode
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
1.9W
Citations:
3.2W