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JS

              
                var leastEnergy = function( exports ){

    exports.TOP = 6;
    exports.RIGHT = 4;
    exports.BOTTOM = 2;
    exports.LEFT = 0;

    exports[ "MASK_" + exports.TOP ] = 192;
    exports[ "MASK_" + exports.RIGHT ] = 48;
    exports[ "MASK_" + exports.BOTTOM ] = 12;
    exports[ "MASK_" + exports.LEFT ] = 3;

    var canvas = document.createElement("canvas");
    var ctx = canvas.getContext( "2d" );
    var imgData, data;

    function compute( _ctx )
    {

        var w = ctx.canvas.width = _ctx.canvas.width;
        var h = ctx.canvas.height = _ctx.canvas.height;

        imgData = _ctx.getImageData(0,0,w,h);
        var src_data = imgData.data;

        imgData = ctx.getImageData(0,0,w,h);
        data = imgData.data;

        //temp vars
        var id, r, g, b, a, x, y, v, w4 = w * 4, grey;

        //1 convert to greyscale
        for( y = 0; y < h; y++ ) {

            for (x = 0; x < w; x++) {

                id = ( ( y * w ) + x ) * 4;

                r = src_data[id];
                g = src_data[id + 1];
                b = src_data[id + 2];

                //stores a greyscale value in the red channel
                grey = ( r * 0.2126 + g * 0.7152 + b * 0.0722 );
                data[id] = grey;
                    data[id + 1] = 0;
                    data[id + 2] = 0;
                data[id + 3] = 255;
            }
        }

        //for each pixel, find the shortest energy direction to its 8 neighbours
        var tl, to, tr, le, ri, bl, bo, br;

        //pixel-neighbour distance values
        var vle, vto, vri, vbo;

        for( y = 0; y < h; y++ ) {

            for (x = 0; x < w; x++) {

                //gets the pixel greyscale value
                id = ( ( y * w ) + x ) * 4;
                v = data[id];

                //greyscale values of the kernel ( top left, top, top right, left, right, bottom left, bottom, bottom right )
                tl = data[ id - w4 - 4 ];
                to = data[ id - w4 ];
                tr = data[ id - w4 + 4 ];
                le = data[ id - 4 ];
                ri = data[ id + 4 ];
                bl = data[ id + w4 - 4 ];
                bo = data[ id + w4 ];
                br = data[ id + w4 + 4 ];

                //find best candidate for each direction
                vle = getIndex( v, tl, le, bl );
                vto = getIndex( v, tl, to, tr );
                vri = getIndex( v, tr, ri, br );
                vbo = getIndex( v, bl, bo, br );

                //4 best candidates encoded in the green channel (CW from top to left)
                data[ id + 1 ] = vto << exports.TOP | vri << exports.RIGHT | vbo << exports.BOTTOM | vle << exports.LEFT;

            }
        }

        imgData.data = data;
        ctx.putImageData( imgData, 0,0 );
        return ctx;
    }

    //return the least energy neghbour
    function getIndex( value, a,b,c )
    {
        //energy difference
        var i0 = Math.abs( value - a );
        var i1 = Math.abs( value - b );
        var i2 = Math.abs( value - c );

        //all 3 pixels have the same value, return random index
        if( i0 == i1 && i1 == i2 )return parseInt( Math.random() * 3 );

        //2 pixels have the same value
        //randomly return one of the 2 if they are lower than the third value
        if( i0 == i1 && i1 != i2 )return  i1 < i2 ? ( ( Math.random() < .5 ) ? 0 : 1 ) : 2 ;
        if( i1 == i2 && i2 != i0 )return  i2 < i0 ? ( ( Math.random() < .5 ) ? 1 : 2 ) : 0 ;
        if( i2 == i0 && i0 != i1 )return  i0 < i1 ? ( ( Math.random() < .5 ) ? 2 : 0 ) : 1 ;

        //regular case, choose smallest difference
        var min = Math.min( i0, Math.min( i1, i2 ) );
        if( min == i0 ) return 0;
        if( min == i1 ) return 1;
        if( min == i2 ) return 2;

    }


    function search( sx, sy, direction ){

        if( imgData == null ) return;

        var w = ctx.canvas.width;
        var h = ctx.canvas.height;

        var path = [];
        path.push( sx, sy );

        var count = direction == exports.LEFT || direction == exports.RIGHT ? w : h;
        var mask = exports[ "MASK_" + direction ];

        var id = ( ( sy * w ) + sx ) * 4;
        var i = 0;
        while( count-- )
        {

            //get current pixel direction value ( val = 0, 1 or 2 )
            var val = ( data[ id + 1 ] & mask ) >> direction ;

            if( direction == exports.TOP ){

                sx += ( val == 0 ? -1 : ( val == 1 ) ? 0 : 1 );//choose least energy path
                sy--;//go up

            }
            if( direction == exports.RIGHT ){

                sx++;//go right
                sy += ( val == 0 ? -1 : ( val == 1 ) ? 0 : 1 );//choose least energy path

            }
            if( direction == exports.BOTTOM ){

                sx += ( val == 0 ? -1 : ( val == 1 ) ? 0 : 1 );//choose least energy path
                sy++;//go down

            }
            if( direction == exports.LEFT ){

                sx--;//go left
                sy += ( val == 0 ? -1 : ( val == 1 ) ? 0 : 1 );//choose least energy path

            }
            id = ( ( sy * w ) + sx ) * 4;
            path.push( sx, sy );
        }
        return path;
    }

    exports.compute = compute;
    exports.search = search;

    return exports;

}( {} );

//test

var img = new Image();
img.crossOrigin = "anonymous";

var ctx, w, h, pictures = [ "../../img/lena.png", "../../img/lena_blur.gif"];
img.onload = function( e )
{

    var canvas = document.createElement( 'canvas' );

    var downscale = 1;
    w = canvas.width = img.width / downscale;
    h = canvas.height = img.height / downscale;
    ctx = canvas.getContext("2d");
    document.body.appendChild( canvas );
    ctx.drawImage( img, 0,0, w,h );

    canvas.addEventListener('mousemove', getMousePosition, false );
    canvas.addEventListener('touchmove', getTouchPosition, false );

    leastEnergy.compute( ctx );

};

function computePath( x,y ){

    ctx.drawImage( img, 0,0, w,h );

    var path = leastEnergy.search( x, y, leastEnergy.BOTTOM );
    drawPath( ctx, path, "#fC0" );

    path = leastEnergy.search( x, y, leastEnergy.TOP );
    drawPath( ctx, path, "#00F" );

    path = leastEnergy.search( x, y, leastEnergy.LEFT);
    drawPath( ctx, path, "#f00" );

    path = leastEnergy.search( x, y, leastEnergy.RIGHT);
    drawPath( ctx, path, "#0f0" );
}

function drawPath(ctx, path, color ){

    ctx.strokeStyle = color;
    ctx.beginPath();

    ctx.moveTo(path[0], path[1]);
    for (var i = 0; i < path.length; i += 2) {
        ctx.lineTo(path[i], path[i + 1]);
    }
    ctx.stroke();
}

var mouse = {x:0, y:0};
function getMousePosition(e){

    if (!e) e = window.event;

    if (e.pageX || e.pageY) 	{
        mouse.x = e.pageX;
        mouse.y = e.pageY;
    }
    else if (e.clientX || e.clientY) 	{
        mouse.x = e.clientX + document.body.scrollLeft + document.documentElement.scrollLeft;
        mouse.y = e.clientY + document.body.scrollTop + document.documentElement.scrollTop;
    }

    var r = e.target.getBoundingClientRect();
    mouse.x -= r.left;
    mouse.y -= r.top;

    computePath( mouse.x, mouse.y );
    e.preventDefault();
}

function getTouchPosition(e){

    var touch = e.targetTouches[0];
    var r = e.target.getBoundingClientRect();
    mouse.x = touch.clientX - r.left;
    mouse.y = touch.clientY - r.top;
    computePath( mouse.x, mouse.y );
    e.preventDefault();

}

window.onload = function(){
    img.src = 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";
};
              
            
!
999px

Console