Restoration Of The Image Blurred By Motion In Two-dimension

With the rapid development of space technique, the demand to the quality of images from space camera is higher and higher. But to get a high resolution image usually needs a long exposure time, if the object we want to take is moving at the exposure time, we will get a motion-blurred image. The target of this study is to find a resolution to deblur the blurred image to get a higher quality image.The academic foundation needed is introduced first. The degradation model of motion-blurred image specially blurred by the uniform linear motion is analyzed, with the restoration methods commonly used. A new method to calculate the PSF of motion-blur from motion path is deduced by investigating the integral process of the image sensor, then a new method to deblur the motion-blurred image was given.After that, we introduced the theory of image quality evaluation, some classical image evaluation algorithms were introduced. By comparison, the sphere of application of every algorithm was figured out. The experiments were carried out to prove the method of PSF calculation. A sequence of low resolution gray images were captured by the high speed camera during the exposure time of primary camera, then the displacement between two image can be worked out, the PSF of motion blur was got at last.This method can estimate arbitrary form PSF in two dimensions. It breaks through the limit that most national methods can only calculate PSF of uniform linear motion. Lots of experiments were carried out, the range of vibrational frequency is from low frequency to high frequency (200HZ). From the result of image evaluation algorithm, we know that our way was useful. The quality of deblur image was improved a lot.