A recovery method used for a plurality of images with saturated pixel scenes
A pixel and image technology, applied in the design of computer imaging, can solve the problems of image restoration, inaccurate estimation, poor restoration effect, etc., and achieve good restoration effect, clear and accurate image restoration results, and rich details
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[0027] The present invention will be further described below with reference to the accompanying drawings and a specific example. It should be noted that the fuzzy kernel in the simulation process such as Figure 7 Although a~c are known, they are only for clear images for comparison when comparing the results, and the blur kernel does not need to be known when using the invented simulation algorithm.
[0028] refer to figure 1 , the algorithm flow steps of the present invention are as follows:
[0029] Step 1: Input blurred image
[0030] Such as figure 2 As shown, select a clear night scene image with saturated pixels. To test the results of the algorithm, three different blur kernels are simulated on sharp images. blur kernel such as Figure 7 a~c respectively correspond to image 3 The blur kernel of the blurred image from a to c. Because the gray level of the simulated clear image is 0-255, it is equivalent to that the saturated pixels have been cut off, so the bl...
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