Method for image processing and apparatus for implementing the same
AssigneeAteme
InventorThomas GUIONNET
Life of this patent
Estimating the term…
Abstract
A method of processing an image is proposed, which includes: generating a decoded image by first encoding the image, wherein the first encoding the image includes decoding encoded data generated based on the image, determining estimates of parameters of a parametric model of noise contained in the image based on the decoded image, including the estimates of parameters of the parametric model of noise in an encoded stream generated by second encoding the image.
Claims20
A method of processing an image, comprising:
- generating a decoded image by first encoding the image, wherein the first encoding the image comprises decoding encoded data generated based on the image;
- determining estimates of parameters of a parametric model of noise contained in the image based on the decoded image;
- including the estimates of parameters of the parametric model of noise in an encoded stream generated by second encoding the image.
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, comprising:
- generating a decoded image by first encoding the image, wherein the first encoding the image comprises decoding encoded data generated based on the image;
- determining estimates of parameters of a parametric model of noise contained in the image based on the decoded image;
- including the estimates of parameters of the parametric model of noise in an encoded stream generated by second encoding the image.
A non-transitory computer-readable medium encoded with executable instructions which, when executed, causes an apparatus comprising a processor operatively coupled with a memory, to perform a method of processing an image, the method comprising:
- determining, based on the image, one or more noise templates, wherein each of the one or more noise templates comprises noise pixels representing noise contained in the image;
- calculating one or more first autocovariance values, based on the noise pixels of at least one of the one or more noise templates;
- based on the one or more first autocovariance values, selecting an entry of a noise model database among database entries which respectively comprise values of noise model parameters corresponding to a noise model;
- and
- using the values of the noise model parameters to characterize the noise contained in the image to be used for further processing of the image.
Dependencies are inferred from the claim text.