Method for image processing and apparatus for implementing the same

An apparatus, the apparatus comprising:

• a processor;
• and
• a memory operatively coupled to the processor,
• wherein the apparatus is configured to perform a method of processing an image of a video sequence comprising a plurality of images, the video sequence being divided into a sequence of consecutive subsets each comprising one or more consecutive images of the video sequence, the method comprising:
• determining, among the consecutive subsets, a current subset that comprises the image,
• upon determining that the image is a first image of the current subset to be processed, determining an analysis window corresponding to the current subset, the analysis window comprising
• a plurality of consecutive images of the video sequence, and
• at least one image of the current subset, and
• generating processing results for the image by performing a processing on the images of the analysis window,
• wherein the processing comprises determining estimates of parameters of an auto-regressive (AR) parametric model of noise contained in the images of the analysis window, according to which a current noise pixel is computed as a combination of a linear combination of P previous noise pixels in a causal neighborhood of the current noise pixel weighted by respective AR model linear combination parameters with a generated noise sample corresponding to an additive Gaussian noise of AR model variance parameter.

A non-transitory computer-readable medium encoded with executable instructions which, when executed, causes an apparatus including a processor operatively coupled with a memory, to perform a method of processing an image of a video sequence comprising a plurality of images, the video sequence being divided into a sequence of consecutive subsets each including one or more consecutive images of the video sequence, the method comprising:

• determining, among the consecutive subsets, a current subset that comprises the image;
• upon determining that the image is a first image of the current subset to be processed, determining an analysis window corresponding to the current subset, the analysis window comprising
• a plurality of consecutive images of the video sequence, and
• at least one image of the current subset;
• and
• generating processing results for the image by performing a processing on the images of the analysis window,
• wherein the processing comprises determining estimates of parameters of an auto-regressive (AR) parametric model of noise contained in the images of the analysis window, according to which a current noise pixel is computed as a combination of a linear combination of P previous noise pixels in a causal neighborhood of the current noise pixel weighted by respective AR model linear combination parameters with a generated noise sample corresponding to an additive Gaussian noise of AR model variance parameter.