Преобразование шейдера OpenGL в Metal (Swift) для использования в CIFilter

Я попробовал. Вот код ядра:

#include <metal_stdlib>
using namespace metal;
#include <CoreImage/CoreImage.h>

extern "C" { namespace coreimage {

    float4 vhs(sampler_h src, float time, float amount) {
        const float magnitude = sin(time) * 0.1 * amount;

        float2 greenCoord = src.coord(); // this is alreay in relative coords; no need to devide by image size

        const float split = 1.0 - fract(time / 2.0);
        const float scanOffset = 0.01;
        float2 redCoord = float2(greenCoord.x + magnitude, greenCoord.y);
        float2 blueCoord = float2(greenCoord.x, greenCoord.y + magnitude);
        if (greenCoord.y > split) {
            greenCoord.x += scanOffset;
            redCoord.x += scanOffset;
            blueCoord.x += scanOffset;
        }

        float r = src.sample(redCoord).r;
        float g = src.sample(greenCoord).g;
        float b = src.sample(blueCoord).b;

        return float4(r, g, b, 1.0);
    }

}}

И вот некоторые небольшие изменения в outputImage в вашем фильтре:

override var outputImage: CIImage? {
    guard let inputImage = self.inputImage else { return nil }

    // could be filter parameters
    let inputTime: NSNumber = 60
    let inputAmount: NSNumber = 0.3

    // You need to tell the kernel the region of interest of the input image,
    // i.e. what region of input pixels you need to read for a given output region.
    // Since you sample pixels to the right and below the center pixel, you need
    // to extend the ROI accordingly.
    let magnitude = CGFloat(sin(inputTime.floatValue) * 0.1 * inputAmount.floatValue)
    let inputExtent = inputImage.extent

    let roiCallback: CIKernelROICallback = { _, rect -> CGRect in
        return CGRect(x: rect.minX, y: rect.minY,
                      width: rect.width + (magnitude + 0.01) * inputExtent.width, // scanOffset
                      height: rect.height + magnitude * inputExtent.height)
    }

    return self.kernel.apply(extent: inputExtent,
                             roiCallback: roiCallback,
                             arguments: [inputImage, inputTime, inputAmount])
}