I'm working images that have 10k X 10k dimensions. To account for this I need to use an aperture window size that's 1001 by 1001. I noticed that this isn't actually possible... entering a value greater than 255 causes this assert to fail... this is inside of ...opencv\sources\modules\imgproc\src\smooth.cpp.

```
#if MEDIAN_HAVE_SIMD
if( useSIMD )
{
for( j = 0; j < 2*r; ++j )
histogram_add_simd( &h_coarse[16*(n*c+j)], H[c].coarse );
for( j = r; j < n-r; j++ )
{
int t = 2*r*r + 2*r, b, sum = 0;
HT* segment;
histogram_add_simd( &h_coarse[16*(n*c + std::min(j+r,n-1))], H[c].coarse );
// Find median at coarse level
for ( k = 0; k < 16 ; ++k )
{
sum += H[c].coarse[k];
if ( sum > t )
{
sum -= H[c].coarse[k];
break;
}
}
assert( k < 16 );
```

Is there anyway around this or am I limited to using window sizes 255 and under in OpenCV? If there isn't then that's a pretty big flaw on part of OpenCV. I have a personal java implementation of medianblur that can take window sizes of any size I don't understand why OpenCV works any differently...