Image rendering algorithm based on handwritten signature cell modulation

Wang Lijun; Cao Peng

doi:10.1117/12.2682873

16 June 2023 Image rendering algorithm based on handwritten signature cell modulation

Wang Lijun, Cao Peng

Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 1270316 (2023) https://doi.org/10.1117/12.2682873
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China

Abstract

Contraposing to the problems in image features, grayscale tone performance and artistic effect expression of artistic style rendering technology in simulating handwritten signature to draw character portrait, this paper designs an algorithm to automatically generate portrait by imitating hand painted. Firstly, in order to solve the difference between contour and background in expression, a filtering model based on Sobel operator optimization is proposed to obtain the line texture and contour of the original image as reference, segment the input target image into contour image and background image. Secondly, the background stippling is generated on the basis of the weighted Voronoi algorithm, the stippling is modulated with handwritten signature cells to generate a background image under the definition of signature cells. Among them, after constraining the distribution of cells with the coordinates of the points, the dimension and direction jitter are performed. The size of each cell is changed according to the gray-level integration of Voronoi unit, and the direction adjustment is based on the texture features of the image. Finally, the fusion of contour image and background image is realized by using the local spatial invariance. The experimental results show that compared with the artistic portrait drawn by hand-painted, the image generated by this algorithm not only maintains the original characteristics of the target image, but also achieves similar artistic expression effect. As the product of art digitization, it can be used for miniature printing image, and has unique application value in printing information for anti-counterfeiting.

Citation Download Citation

Wang Lijun and Cao Peng "Image rendering algorithm based on handwritten signature cell modulation", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 1270316 (16 June 2023); https://doi.org/10.1117/12.2682873

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KEYWORDS

Image segmentation

Image processing

Tunable filters

Image filtering

Image fusion

Modulation

Contour extraction

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