论文部分内容阅读
为解决由于相机高速运动而导致的图像模糊,利用定点DSP芯片TMS320C6416和维纳滤波算法实现电子稳像。研究了运动模糊的退化模型,阐述了维纳滤波进行图像恢复的原理。介绍了利用定点DSP(TMS320C6416)完成电子稳像的关键技术,完成字长为32bit的FFT运算,充分发挥DSP的DMA功能来提高处理速度。分析了恢复图像中存在的振铃效应和边沿效应,给出了实验结果。
In order to solve the image ambiguity caused by the camera moving at high speed, the electronic image stabilization is realized by using the fixed-point DSP chip TMS320C6416 and Wiener filter algorithm. The degradation model of motion blur is studied, and the principle of Wiener filtering for image restoration is described. This paper introduces the key technology of using electronic fixed image DSP (TMS320C6416) to complete the electronic image stabilization, completes the FFT operation of 32bit word length and gives full play to the DMA function of DSP to improve the processing speed. The ringing effect and edge effect in the restored image are analyzed, and the experimental results are given.