Generation of Moire-Like Images Using Gaussian Filter
Abstract
A non-photorealistic rendering method to automatically generate moire-like images from photographic images using bilateral filter has been proposed. Moire-like images are expressed by superimposing moire-like patterns on photographic images. We propose a method to improve the conventional method and generate moire-like images using Gaussian filter, unsharp mask and inverse filter. Compared with the conventional method, the proposed method can suppress the degradation of image quality of the background photographic images of moire-like images. Moreover, the proposed method can generate moire-like patterns having a texture different from the conventional method. To verify the effectiveness of the proposed method, we conduct an experiment using several photographic images and visually confirm the results. In addition, we conduct an experiment by changing the parameter values in the proposed method and visually confirm the changes in moire-like images.
References
P. Haeberli, “Paint by Numbers: Abstract Image Representations”, ACM SIGGRAPH Computer Graphics, vol.24, no.4, pp.207-214, 1990.
D. D. Seligmann and S. Feiner, “Automated Generation of Intent-Based 3D Illustrations”, ACM SIGGRAPH Computer Graphics, vol.25, no.4, pp.123-132, 1991.
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.
Gourd Pyrography Art Simulating Based on Non-Photorealistic Rendering, “Multimedia Tools and Applications”, IEEE Computer Graphics and Applications, vol.76, no.13, pp.14559-14579, 2017.
D. Martin, G. Arroyo, A. Rodriguez and T. Isenberg, “A Survey of Digital Stippling”, Computers & Graphics, vol.67, pp.24-44, 2017.
W. Qian, D. Xu, J. Cao, Z. Guan and Y. Pu, “Aesthetic Art Simulation for Embroidery Style”, Multimedia Tools and Applications, vol.78, no.1, pp.995-1016, 2019.
T. Hiraoka, “Generation of Pop Art-Like Images Using Binomial Distribution”, ICIC Express Letters, vol.14, no.3, pp.227-233, 2020.
T. Hiraoka and K. Urahama, “Generation of Moire Picture-Like Images by Bilateral Filter”, The Journal of the Institute of Television Engineers of Japan, vol.67, no.2, pp.J74-J77, 2013.
T. Hiraoka and K. Urahama, “Generation of Moire-Picture-Like Color Images by Bilateral Filter”, IEICE Transactions on Information and Systems, vol.E96-D, no.8, pp.1862-1866, 2013.
T. Hiraoka, H. Nonaka and K. C. A. Carreon, “Iterative-Calculation Reduction and Quality Improvement on Generating Moire-Like Images Using Bilateral Filter”, ICIC Express Letters, vol.13, no.9, pp.807-813, 2019.
C. Tomasi and R. Manduchi, “Bilateral Filtering for Gray and Color Images”, Proceedings of ICCV, pp.839-846, 1998.
S. Paris, P. Kornprobst, J. Tumblin, and F. Durand, “Bilateral Filtering: Theory and Applications”, Foundations and Trends in Computer Graphics and Vision, vol.4, no.1, pp.1-73, 2008.
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.
A. Buades, B. Coll, and J. M. Morel, “The Staircasing Effect in Neighborhood Filters and Its Solution”, IEEE Transaction, Image Processing, vol.15, no.6, pp.1499-1505, 2006.
N. Pierazzo and G. Facciolo, “Data Adaptive Dual Domain Denoising: A Method to Boost State of the Art Denoising Algorithms”, Image Processing On Line, vol.7, pp.93-114, 2017.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
