Using Gaussian algorithm to realize image fuzzy processing

<?PHPclassimage_blur{function Gaussian_blur ($srcImg, $savepath=NULL, $savename =NULL, $blurFactor =3) {$gdImageResource=$ This-Image_create_from_ext ($SRCIMG); $SRCIMGOBJ=$ This-Blur ($gdImageResource, $blurFactor); $temp=PathInfo ($SRCIMG); $name= $temp ['basename']; $path= $temp ['dirname']; $exte= $temp ['extension']; $savename= $savename?$savename: $name; $savepath= $savepath?$savepath: $path; $savefile= $savepath.'/'. $savename; $srcinfo=@getimagesize ($SRCIMG); Switch($srcinfo [2]) {             Case 1: Imagegif ($SRCIMGOBJ, $savefile); Break;  Case 2: imagejpeg ($SRCIMGOBJ, $savefile); Break;  Case 3: Imagepng ($SRCIMGOBJ, $savefile); Break; default:return 'Save failed';//Save failed        }        return$savefile;    Imagedestroy ($SRCIMGOBJ); }} $image _blur=NewImage_blur ();

The value of Blurfactor represents the degree of ambiguity, Savepath is directly covered when empty, Savename is empty directly with the original

$image _blur->gaussian_blur ($srcImg ="./5.jpg", $savepath =null, $ Savename=null, $blurFactor =5);
?>

This method Baidu to, there is an interview I let me do, Baidu a pile of data to achieve.

The value of Blurfactor represents the degree of ambiguity
Effect Show:
Original

Degree of ambiguity 2

Degree of ambiguity 3

Degree of ambiguity 4

Degree of ambiguity 5

Degree of ambiguity 6

Degree of ambiguity 7

Using Gaussian algorithm to realize image fuzzy processing