Training classifiers for deblurring images

A machine-readable non-transitory storage medium encoded with instructions that, when executed by a processor, cause the processor to perform a method comprising:

• generating a plurality of perturbed deblurring kernels by perturbing a first deblurring kernel;
• applying each of the plurality of perturbed deblurring kernels to a blurry image to produce a plurality of deblurred images;
• determining a plurality of deblurring scores by applying a classifier to each of the plurality of deblurred images;
• selecting, using the plurality of deblurring scores, one of the plurality of perturbed deblurring kernels, as the selected deblurring kernel;
• applying a frequency domain transform to the blurry image;
• and
• applying the selected deblurring kernel to the blurry image to produce a deblurred image.

A machine-readable non-transitory storage medium encoded with instructions that, when executed by a processor, cause the processor to perform a method comprising:

• generating a first perturbed deblurring kernel by perturbing a first deblurring kernel;
• generating a second perturbed deblurring kernel by perturbing one of the first deblurring kernel and the first perturbed deblurring kernel;
• applying the first perturbed deblurring kernel to a blurry image to produce a first deblurred image;
• applying the second perturbed deblurring kernel to the blurry image to produce a second deblurred image;
• determining a first deblurring score by applying a classifier to the first deblurred image;
• determining a second deblurring score by applying the classifier to the second deblurred image;
• and
• selecting, using the first deblurring score and the second deblurring score, one of the first perturbed deblurring kernel and the second perturbed deblurring kernel as the deblurring kernel.

A computer-implemented method, the method comprising:

• generating a first perturbed deblurring kernel by perturbing a first deblurring kernel;
• generating a second perturbed deblurring kernel by perturbing one of the first deblurring kernel and the first perturbed deblurring kernel;
• applying the first perturbed deblurring kernel to the blurry image to produce a first deblurred image;
• applying the second perturbed deblurring kernel to the blurry image to produce a second deblurred image;
• determining a first deblurring score by applying a classifier to the first deblurred image;
• determining a second deblurring score by applying the classifier to the second deblurred image;
• and
• selecting, using the first deblurring score and the second deblurring score, one of the first perturbed deblurring kernel and the second perturbed deblurring kernel as the deblurring kernel.