Bitmap-based hand drawing material generation method
A bitmap and hand-painted technology, applied in the field of bitmap-based hand-painted material generation, can solve the problems of inability to complete hand-painted animation display, lack of path information, etc., and achieve the effect of enhancing hand-painted animation effects, saving computing resources, and accelerating rapid generation.
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Embodiment 1
[0053] see figure 1 , the present embodiment provides a bitmap-based hand-painted material generation method, including the following steps:
[0054] S1, enhancing the bitmap image, to highlight the trend of pixel value variation of the bitmap image;
[0055] S2. According to the variation trend of the pixel value, the image outline is generated by connecting lines;
[0056] S3. Denoising the image contour to generate a denoised image contour;
[0057] S4. Embedding the bitmap image into the outline of the denoised image to generate a hand-painted material.
Embodiment 2
[0059] see figure 2 Correspondingly, this embodiment provides a device for generating hand-painted materials based on bitmaps, including:
[0060]The enhancement module 1 is used to enhance the bitmap image, so as to highlight the variation trend of the pixel value of the bitmap image;
[0061] The connection module 2 is used to generate an image outline by connecting a line according to the variation trend of the pixel value;
[0062] Denoising module 3, for denoising the image contour, to generate denoising image contour;
[0063] The embedding module 4 is used to embed the bitmap image into the outline of the denoised image to generate hand-painted material.
[0064] It should be noted that the bitmap-based hand-painted material generation method or device highlights the change trend of the pixel values of the bitmap image by enhancing the bitmap image, and then generates an image outline by connecting the change trend of pixel values, and denoising generates a denoisi...
Embodiment 3
[0067] see image 3 , the present embodiment provides a method for denoising an image contour to generate a denoised image contour, comprising the following steps:
[0068] S30. Deduplicating the image contour to generate a deduplicated image contour;
[0069] S31. Group deduplicated image contours to generate grouped image contours;
[0070] S32. Sorting grouped image contours to generate denoised image contours.
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