Method for recognizing natural images and computer generated images based on multi-wavelet transform

A natural image, a technology for generating images, used in computer parts, character and pattern recognition, computing, etc.

Inactive Publication Date: 2012-10-24
NINGBO UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the multiwavelet transform has been well applied in image denoising, image processing and image coding, but there are no relevant research reports on the application of multiwavelet transform to computer-generated image detection at home and abroad.

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  • Method for recognizing natural images and computer generated images based on multi-wavelet transform
  • Method for recognizing natural images and computer generated images based on multi-wavelet transform
  • Method for recognizing natural images and computer generated images based on multi-wavelet transform

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Embodiment Construction

[0072] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0073] The present invention is based on the natural image of multiwavelet transform and the recognition method of computer generated image, comprises the following steps:

[0074] (1) Input M training sample images and N test sample images, convert the training sample images and test sample images to the HSV color space, and obtain the corresponding hue H component images, corresponding saturation S component images and corresponding brightness V component image, and classify the training sample image;

[0075] At present, most of the detections of computer-generated images for JPEG are based on the RGB color space, but from the perspective of human color perception, the RGB color space cannot describe the color characteristics well, and the HSV space is more in line with human perception. For color recognition, this invention chooses to ext...

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Abstract

The invention discloses a method for recognizing natural images and computer generated images based on multi-wavelet transform, comprising the following steps of: (1) transforming training sample images and test sample images to an HSV color space, respectively obtaining corresponding hue component images, saturation images and luminance images; (2) pre-processing each component image and then performing first-order multi-wavelet transform to each component image; (3) taking 16 sub-bands of the obtained hue component images, saturation images and luminance images as objects, and calculating the mean value, the variance, the skewness and the kurtosis of each sub-band wavelet coefficient, thereby obtaining 192 characteristic values; and (4) calibrating and normalizing the characteristic values, and then substituting to an SVM classifier for training and testing, thereby obtaining classes of the images. The method is high in detection recognition rate and low in calculation complexity.

Description

technical field [0001] The invention relates to a method for blind evidence collection of digital images, in particular to a computer-generated image and natural image recognition method based on multi-wavelet transform. Background technique [0002] As an effective carrier of information transmission, image data has become the most important way to obtain and publish information in our work and life because of its intuitive, easy-to-understand and very convincing features. However, with the development of information technology, various image processing and generation software continue to emerge, and various production techniques are constantly improved and improved. 3D image production software such as 3Dmax, Maya, and Softimage can generate nearly perfect images, which can be in harmony with nature. Images are so comparable that it is almost impossible to distinguish them with the naked eye. These technologies are like a double-edged sword. On the one hand, these images ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/54
Inventor 王让定郭克张荣严迪群徐达文
Owner NINGBO UNIV
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