Image processing apparatus and method
AssigneeSony Group Corporation
InventorsYusuke MORIUCHI, Kenichiro NAKAMURA, Hajime MIHARA, Takayuki SASAKI
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Abstract
There is provided an image processing apparatus and method capable of suppressing an increase in a processing time for image clustering. Sparse pixels included in an image are clustered, sparse information obtained by this clustering is interpolated by image filtering that uses an image signal as a guide, and thereby a dense clustering result is derived. For example, the sparse information is model coefficients or a clustering result obtained by the clustering. The present disclosure can be applied to, for example, an image processing apparatus, an image processing method, and the like.
Claims15
An image processing apparatus comprising:
- a clustering unit configured to cluster a sparse pixel included in an image;
- and
- an interpolation processing unit configured to interpolate sparse information by image filtering, and thereby derive a dense clustering result, the sparse information being obtained by the clustering of the clustering unit, and the image filtering using an image signal as a guide.
An image processing method comprising:
- clustering a sparse pixel included in an image;
- and
- interpolating sparse information by image filtering, and thereby deriving a dense clustering result, the sparse information being obtained by the clustering, and the image filtering using an image signal as a guide.
An image processing apparatus comprising a clustering unit configured to perform local clustering by using information, the local clustering being clustering of a dense pixel included in a local area of an image, and the information being obtained by wide area clustering that is clustering of a sparse pixel included in a wide area of the image.
An image processing method comprising performing local clustering by using information, the local clustering being clustering of a dense pixel included in a local area of an image, and the information being obtained by wide area clustering that is clustering of a sparse pixel included in a wide area of the image.
Dependencies are inferred from the claim text.