Image processing apparatus and method which generates reference data according to learning images
AssigneeSamsung Electronics Co., Ltd.
InventorsKyung-sun Min, Bo-gun Park, Byung-cheol Song
Life of this patent
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Abstract
An image processing apparatus and an image processing method, the image processing apparatus including: an image input unit which receives an image; and an image processing unit which generates reference data on the basis of a plurality of learning images classified into a plurality of first classes according to a noise characteristic and a plurality of second classes according to an image characteristic, and which performs scaling for the received image on the basis of the generated reference data.
Claims23
An image processing apparatus comprising:
- an image input unit which receives an image;
- and
- an image processing unit which generates reference data according to a plurality of learning images classified into a plurality of first classes according to a noise characteristic and a plurality of second classes according to an image characteristic, and which performs scaling for the received image according to the generated reference data.
An image processing method comprising:
- receiving an image;
- generating reference data according to a plurality of learning images classified into a plurality of first classes according to a noise characteristic and a plurality of second classes according to an image characteristic;
- and
- performing scaling for the received image according to the generated reference data.
A method of generating reference data used to scale an image, the method comprising:
- inserting noise in a low resolution image;
- predicting an intensity of the inserted noise in the low resolution image;
- removing the noise from the low resolution image;
- classifying the low resolution image and a corresponding high resolution image into a first class, of a plurality of first classes, according to the predicted intensity of the inserted noise;
- classifying the low resolution image and the corresponding high resolution image into a second class, of a plurality of second classes, according to an image characteristic;
- and
- generating the reference data according to the classified low resolution image.
Dependencies are inferred from the claim text.