四DSP实现运动模糊图像的实时恢复
Real-time Restoration of Motion Blurred Image Based on Four DSPs
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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3个定点DSP和1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4个DSP在图像恢复过程中各自的功能。对于512512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32.5ms，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512512大小运动模糊图像的实时恢复。Abstract: To absolve image blur phenomena caused by relative motion between camera and objects, a real-time 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 512512，the time of two-dimensional FFT by fixed DSP is 17.7ms, the gross time of float point multiplication and division by float point DSP is 32.51ms, according to above time, the load of every DSP is calculated. From these datum, the hardware can complete real-time restoration of 512512 image.
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