Color constancy method based on texture pyramid and regularized local regression

A local regression and color constant technology, applied in the field of image processing, can solve problems such as large median angle errors

Active Publication Date: 2011-05-25
SHANGHAI NAT ENG RES CENT OF DIGITAL TELEVISION
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Problems solved by technology

Although the illumination estimation results of the CCBTS method are better than a single a

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  • Color constancy method based on texture pyramid and regularized local regression
  • Color constancy method based on texture pyramid and regularized local regression
  • Color constancy method based on texture pyramid and regularized local regression

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Embodiment Construction

[0047] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0048] Such as figure 1 As shown, this method includes extracting the texture features of the image based on the texture pyramid of the Weibull distribution, using the image similarity criterion to determine the reference image set of the image to be tested, and then combining the data-driven method and prior knowledge method according to the neighborhood information , using regularized local regression in the lαβ color space to combine a single color constancy algorithm, and finally get the corrected image through the Von Kries model.

[0049] Take the estimated illumination of the test image X as an example. Th...

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Abstract

The invention relates to a color constancy method based on a texture pyramid and regularized local regression, belonging to the technical field of image processing. The color constancy method based on a texture pyramid and regularized local regression comprises the following steps: establishing an algorithm candidate set for the fusion algorithm according to different parameter selections througha Minkowski paradigm based on common color constancy, segmenting an image into overlapped blocks according to different resolution ratios, describing the texture features of each block by adopting Weibull distribution parameters, selecting K images of which the texture features are similar to the texture features of the given images to be measured from a training database according to the definedimage similarity norm, estimating the illumination of the images to be measured by adopting the regularized local regression according to the K reference images in the fusion stage, and finally mapping the images to be measured to the standard white light by using a Von Kries model according to the illumination estimation value to obtain the corrected images. The invention effectively improves the illumination estimation accuracy and can be widely applied to target tracking, object recognition and image retrieval, and the like.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a color constancy method based on texture pyramid and regularized local regression. Background technique [0002] As one of the most basic and direct features in visual information, color is widely used in image retrieval, object recognition, and face recognition in the field of computer vision. However, the same object may display completely different colors under different lighting conditions, so color is also an extremely unstable visual characteristic. Fortunately, the human visual system has the property of color constancy, that is, when the external illumination conditions change, the true color characteristics of the object surface can still be obtained (generally referring to the color of the object surface under white light). The purpose of color constancy is to eliminate the influence of light on the color of the image, obtain the color characteris...

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Application Information

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IPC IPC(8): G06T5/00G06K9/62
Inventor 吴萌周军姚达孙军
Owner SHANGHAI NAT ENG RES CENT OF DIGITAL TELEVISION
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