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Coefficient learning device and method, image processing device and method, program, and recording medium

An image processing and learning device technology, applied in the field of image processing devices and recording media, can solve problems such as image quality degradation and serious problems

Inactive Publication Date: 2012-10-31
SONY CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

On the other hand, since image characteristics greatly differ between artificial images and natural images, the problem becomes serious when natural image-specific processing is applied to artificial images or when artificial image-specific processing is applied to natural images ( And the image quality is quite degraded)

Method used

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  • Coefficient learning device and method, image processing device and method, program, and recording medium
  • Coefficient learning device and method, image processing device and method, program, and recording medium
  • Coefficient learning device and method, image processing device and method, program, and recording medium

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Embodiment Construction

[0041] Hereinafter, preferred embodiments of the present technology will be described in detail with reference to the accompanying drawings. Note that, in this specification and the appended drawings, structural elements that have substantially the same function and structure are denoted with the same reference numerals, and repeated explanation of these structural elements is omitted.

[0042] figure 1 is a block diagram showing a configuration example according to an embodiment of an image processing apparatus to which the present technology is applied.

[0043] The image processing device 20 shown in the figure is configured to perform high image quality processing on an input image and output the high image quality processed image as an output image. In this example, the image processing device 20 includes a natural image processing unit 21 , an artificial image processing unit 22 , a natural image / artificial image determination unit 23 , and an integration unit 24 .

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Abstract

A feature-quantity extraction unit extracts a feature quantity of a target pixel of a student image. The target pixel is classified into a predetermined class. Natural-image processing of the target pixel is performed. Artificial-image processing of the target pixel is performed. A sample of a normal equation is generated using a pixel value of the target pixel subjected to the natural-image processing, a pixel value of the target pixel subjected to the artificial-image processing, a pixel value of a target pixel of a teacher image, and a predetermined mixing coefficient for each class. The mixing coefficient is calculated on the basis of a plurality of generated samples.

Description

technical field [0001] The present technology relates to a coefficient learning device and method, an image processing device and method, a program, and a recording medium, and more particularly to a coefficient learning device and method capable of allowing a plurality of regions different in characteristics to be appropriately classified in an image having these regions , an image processing apparatus and method, a program, and a recording medium. Background technique [0002] In the prior art, high image quality processing has been put into practical use. When performing high-image-quality processing, it is necessary to perform processing suitable for the image in consideration of characteristics of the image and the like. [0003] For example, parts included in an image can be classified into an artificial-image and a natural image. Here, an artificial image is an artificial image such as a text or a simple figure, which exhibits a small number of gray levels and diffe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06K9/00442G06T2207/20012H04N1/40062G06T2207/20081G06T2207/20076G06T5/003G06K9/00456G06T2207/20192G06T7/40G06V30/413G06V30/40G06T5/73
Inventor 细川健一郎内田真史
Owner SONY CORP
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