四DSP實現(xiàn)運動模糊圖像的實時恢復(fù)
Real-time Restoration of Motion Blurred Image Based on Four DSPs
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摘要: 為解決相機與被拍攝物體之間存在較大相對運動而產(chǎn)生的圖像模糊，提出使用3個定點DSP和1個浮點DSP共同完成運動模糊圖像實時恢復(fù)的方法。研究運動模糊圖像的退化模型，采用維納濾波方法進行運動模糊圖像恢復(fù)。闡述了定點DSP完成二維FFT的原理和注意事項，說明了4個DSP在圖像恢復(fù)過程中各自的功能。對于512512大小的圖像，定點DSP完成二維FFT的時間為17.7ms，浮點DSP完成浮點數(shù)據(jù)乘法和除法的時間總共為32.5ms，據(jù)此計算了各個DSP的工作負(fù)荷。通過這些指標(biāo)說明，此硬件結(jié)構(gòu)可以完成512512大小運動模糊圖像的實時恢復(fù)。
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關(guān)鍵詞:
- 運動模糊; 模糊圖像恢復(fù); DSP; FFT; 維納濾波
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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