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Selective image stylizing method based on nonlinear filtering

A nonlinear filtering and stylization technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of less selective stylization method research, costing a lot of manpower, material resources and financial resources

Inactive Publication Date: 2013-12-18
ZHEJIANG UNIV
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  • Application Information

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Problems solved by technology

[0002] The selective image stylization method based on nonlinear filtering belongs to the field of non-realistic image processing. At present, there are many methods for research on image stylization, but there are very few studies on selective stylization methods, especially realism. This style of merging objects into stylized scenes has not yet been covered by algorithms; in the film industry, actors are often shot in front of a green screen and then added to other scenes, but this method of production requires a lot of manpower, material resources and financial resources

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  • Selective image stylizing method based on nonlinear filtering

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Embodiment Construction

[0024] First define the abbreviations to be used in the following description: Importance Map (Importance Map) is abbreviated as IM, Gaussian deviation edge detection method (Difference of Gaussian), abbreviated as DOG.

[0025] figure 1 It is the basic flow chart of the present invention. The invention uses an image and simple user interaction as input to obtain an output image that harmoniously blends a real object and a stylized scene. The following describes each process of the present invention in detail:

[0026] 1. Simple user interaction

[0027] The user interaction step takes a photorealistic image as input, supplemented by simple user interactions, and aims to output an importance map that marks the importance of each pixel. The present invention provides users with a simple and easy-to-use interactive interface. The user uses a paintbrush to roughly select the object that needs to maintain a sense of reality in the image as the foreground, and the rest is the back...

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Abstract

The invention discloses a selective image stylizing method based on nonlinear filtering, which is characterized by comprising the following steps of: (1) simple user interaction; (2) nonlinear filtering; (3) line extraction; and finally output of images which harmoniously combining senses of reality and unreality. In the method, nonlinear diffusion filtering is improved by the following steps of: 1. combining nonlinear diffusion filtering with bilateral filtering; 2. adding a stylizing level control item in an equation; and 3. combining isotropic filtering with anisotropic filtering, so that the nonlinear diffusion filtering can be more suitable for the application of selectivity stylizing. The invention also has the advantages of providing a new artistic style which is an artistic effect of harmonious combination of real objects and stylized scenes, ensuring that a greater contrast is formed between a foreground and a background for giving prominence to the theme of pictures, and being capable of simulating the effect of changing the depth range of fields of a camera.

Description

technical field [0001] The invention relates to a selective image stylization method based on nonlinear filtering. Background technique [0002] The selective image stylization method based on nonlinear filtering belongs to the field of non-realistic image processing. At present, there are many methods for research on image stylization, but there are very few studies on selective stylization methods, especially realism. This style of merging objects into stylized scenes has not yet been covered by algorithms; in the film industry, actors are often shot in front of a green screen and then added to other scenes, but this method of production requires a lot of manpower, material resources and financial resources . Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a selective image stylization method based on nonlinear filtering, which can generate an artistic effect (selective stylization) of fusion of realistic obje...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
Inventor 丛林童若锋唐敏
Owner ZHEJIANG UNIV
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