Seamless image splicing processing method based on accumulated energy
A seamless splicing and image processing technology, applied in the field of image processing, can solve problems such as weak robustness and inability to protect the naturalness of image content well
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[0045] Please refer to the accompanying drawings for a further description of the present invention.
[0046] The present invention provides a seamless stitching image processing method based on cumulative energy. For an input image P, the width reduction is realized according to the following steps:
[0047] ① Calculate the intensity table I of the image, and divide all the elements in I by the maximum value of the elements in I (that is, let the largest element return to 1);
[0048] ② Pass I through a Gaussian low-pass filter with a size of 20×20 and a variance of 9 to obtain the blurred image intensity I b ;
[0049] ③; Find the visual saliency table Smap (saliency map) of the input image, and divide all the elements in the Smap by the maximum value of the elements in the Smap (that is, let the largest element return to 1);
[0050] ④ Construct and initialize the minimum energy table A and the maximum energy table B according to the following formula:
[0051] ...
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