Is the 'Noise Injection' not included in codes?

[conson0214]

I have not found 'Noise Injection' in data codes, is it not included in release codes so far?

[ALLinLLM]

After reading the reference "Image Blind Denoising With Generative Adversarial Network Based Noise Modeling",
I guess the Noise Extraction is like this

                    # in your dataloader's getitem() method:
                    # suppose img_GT is the HR image, and img_LQ is the paired LR image
                    min_var = 1e6
                    min_x = 0
                    min_y = 0
                    x = 0
                    y = 0
                    # find the patch who has min variance 
                    for x in range(0, img_GT.shape[0]-LQ_size, 3*LQ_size):
                        for y in range(0, img_GT.shape[1]-LQ_size, 3*LQ_size):
                            # print("patch", x, y)
                            patch = img_GT[x:x+LQ_size, y:y+LQ_size]
                            var = np.var(patch)
                            if var < min_var:
                                min_var = var
                                min_x = x
                                min_y = y
                    min_patch = img_GT[min_x:min_x+LQ_size, min_y:min_y+LQ_size]
                    noise = min_patch - np.mean(min_patch, axis=(0,1))
                    img_LQ  += noise

and I got the result like

left: HR patch; right: HR noise

[jixiaozhong]

#13 Noise patch collection is offline.

1. Add these noise patches (variance is smaller than the threshold) to the noise pool.
2. Randomly select one and substract its mean value for each channel.
3. Add it to the LR image when training.