摘要
在有效的视频传输过程中图像的降质是不可避免的,可以通过图像盲复原重建降质的图像。因为不需要已知点扩展函数(PSF),所以得到广泛的应用。视频图像变化明显,传输的数据量大,因此需要一种计算复杂度小的方法来实现图像的盲复原。从此点出发包括两个主要的步骤:模糊图像到拉冬变换域的映射和在这个域内的盲模糊识别。这一映射使系统从2维到1维简化了计算的复杂度,更加符合实时的要求。
Degradation is inevitable for efficient video transmission, and blind image restoration can be used to reconstruct the original scene from a degraded observation. The point - spread function （PSF） needn＇ t be known, so it is used in many fields. Because video is characterized by obviously variety and huge transmission data, blind image restoration is implemented with method which can reduce the computational complexity. The system consists of two main steps： the mapping of the blun-ed image into the Radon transform domain, and the blind blur identification in the domain. The mapping simplifies the computational complexity associated with the system from 2- D to 1 - D domain which complies with real- time restoration.
出处
《信息技术》
2006年第11期54-56,共3页
Information Technology
关键词
图像盲复原
实时处理
拉冬变换
blind image restoration
real- time
Radon transform
