Generation of Stripe Patchwork Images Preserving Hue and Saturation in HLS Color Space
Abstract
Non-photorealistic rendering methods have been proposed for generating stripe-patchwork (SP) images from grayscale photographic images. However, when the conventional methods are applied to each of Red (R), Green (G) and Blue (B) of color photographic images, SP patterns between RGB are shifted. Therefore, this paper proposes a method for generating color SP (CSP) images without causing the shifts. The proposed method processes lightness in HLS color space. In addition, CSP images generated by the proposed method can preserve hue and saturation of color photographic images. Experiments using various color photographic images were performed to verify the effectiveness of the proposed method, and show that CSP images can be generated without CSP pattern shifts between RGB and with little change in hue and saturation. In addition, CSP patterns that changed by changing the parameters in the proposed method were visually confirmed.
References
J. Lansdown and S. Schofield, “Expressive Rendering: a Review of Nonphotorealistic Techniques”, IEEE Computer Graphics and Applications, vol.15, no.3, pp.29-37, 1995.
M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy and C. Manjunath, “A Comprehensive Survey on Non-Photorealistic Rendering and Benchmark Developments for Image Abstraction and Stylization”, Iran Journal of Computer Science, vol.2, no.3, pp.131-165, 2019.
T. Hiraoka and K. Urahama, “Generation of Stripe-Patchwork Images by Entropy and Inverse Filter”, ICIC Express Letters, vol.11, no.12, pp.1787-1792, 2017.
T. Hiraoka and H. Nonaka, “A High-Speed Method for Generating Stripe-Patchwork Image”, ICIC Express Letters,vol.12, no.9, pp.923-929, 2018.
T. Hiraoka and H. Nonaka, “Acceleration Using Lookup Table and Sampling for Generating Stripe-Patchwork Images”, ICIC Express Letters, vol.13, no.1, pp.35-40, 2019.
T. Hiraoka, H. Nonaka and Y. Tsurunari, “A Method for Controlling Patterns of Stripe-Patchwork Images”, ICIC Express Letters, vol.13, no.3, pp.175-180, 2019.
J. M. Ortega and W. C. Rheinboldt, “Iterative Solutions of Nonlinear Equations in Several Variables”, Society for Industrial and Applied Mathematics, 1987.
Z. Yu and K. Urahama, “Iterative Method for Inverse Nonlinear Image Processing”, IEICE Transactions on Fundamentals, vol.E97-A, no.2, pp.719-721, 2014.
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