摘要
为解决相机与被拍摄物体之间存在较大相对运动而产生的图像模糊,提出使用三个定点DSP和一个浮点DSP共同完成运动模糊图像实时恢复的方法。研究运动模糊图像的退化模型,采用维纳滤波方法进行运动模糊图像恢复。阐述了定点DSP完成二维FFT的原理和注意事项,说明了四个DSP在图像恢复过程中各自的功能。对于512×512大小的图像,定点DSP完成二维FFT的时间为17.7ms,浮点DSP完成浮点数据乘法和除法的时间总共为32.51ms,据此计算了各个DSP的工作负荷。通过这些指标说明,此硬件结构可以完成512×512大小运动模糊图像的实时恢复。
To absolve image blur phenomena caused by relative motion between camera and objects, a realtime blur image restoration method is put forward,which is composed of three fixed point DSP and one float point DSP. Degeneration model is researched. From the point of view of software, Wiener filtering is adopted to restore image. Two-dimensional FFT principle and important questions are presented executed by fixed DSP, the respective functions of four DSP is explained during the course of image restoration. For the image of 512×512,the time of two-dimensional FFT by fixed DSP is 17.7 ms, the gross time of floatpoint multiplication and division by float point DSP is 32.51 ms, according to above time, the load of every DSP is calculated. From these data, the hardware can complete real-time restoration of 512×512 image.
出处
《电子器件》
EI
CAS
2005年第4期722-725,共4页
Chinese Journal of Electron Devices
