Our application uses Core Image to apply custom CIFilters to still images and video. I'm running into issues when the supplied image is large enough (>4096) that the image is automatically tiled. The simplest of these to describe is a filter that performs various mirroring effects - backwards, upside-down etc. The implementation portion of the filter provides a sampler (src) and passes this into the kernel with an roiCallback that uses the destRect, inset by -1 in both dimensions: return [mirrorsKernel applyWithExtent:[src extent] roiCallback:^CGRect(int index, CGRect destRect) { return CGRectInset(destRect, -1, -1); } arguments:@[src] ]; The kernel is very simple, sampling from the X coordinate equal to the src width - current coordinate: float4 backwards(sampler image, destination dest) { float2 dc = dest.coord(); dc.x = image.size().x - dc.x; return image.sample(image.transform(dc))); } When this runs on an image that is wider than 4096, tiling happens, with the result being that destRect is not the entire image and therefore the resulting output image is incorrect. If the ROI uses [src extent] instead of destRect, the result is correct, but this will lead to serious performance issues when src gets too large. All of this makes sense to me. What I'd like to know is if there is a way to handle this filter's requirements for sampling from the entire source while still limiting the ROI to maintain performance? I think the answer is probably no within our current structure and performance limits. But I wanted to see if there's anything we're missing. I am aware that the simple kernel above can be replaced with an affine transform, which is an option for backwards and upside-down mirroring. We have other kernels in this filter that perform mirroring of either half of the source image or one quadrant of the source image. In these cases, I suppose it might be possible (up to a point) to create a custom ROI that is only the portion of the source that is being mirrored. We have not attempted that yet. Any thoughts/input appreciated, thanks!