Kyushu University Academic Staff Educational and Research Activities Database
List of Papers
Naoki Ono Last modified date:2023.11.27

Associate Professor / Image Information Engineering / Department of Media Design / Faculty of Design


Papers
1. 森山晃平, 小野直樹, 井上光平, 原健二, Video Super-resolution by Generative Adversarial Network with 3D Convolutional Neural Networks, 2023 INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT), Proc. of SPIE Vol. 12592, 125921K-1-125921K-2, 2023.01.
2. Zilin Xiao, Kohei Inoue, Kenji Hara, Naoki Ono, Toru Hiraoka, Generating Variable-Size Pixel Art Based on Row/Column Clustering, ICIC Express Letters, 16, 8, 965-92, 2022.09.
3. 井上光平, 小野直樹, 原健二, Local Contrast-Based Pixel Ordering for Exact Histogram Specification, Journal of Imaging, 8, 9, 247, 2022.09.
4. Naoki Ono, Kiichi Urahama, Enhancement of Images Degraded by Hazy Light Scattering and Attenuation, Journal of the Institute of Industrial Applications Engineers, 7, 2, 38-41, 2019.04, We propose a method for enhancing images degraded by hazy scattering and attenuation of lights. Images are enhanced in two steps. The first step is restoration of the hue of colors on the basis of the gray world assumption. This hue restored images are next enhanced with magnifying the contrast of the luminance and the saturation of colors while preserving the hue of colors. Performance of the proposed method is verified for some example images of foggy and underwater photographs..
5. An Shui Yu, Naoki Ono, Kohei Inoue, Hara Kenji, Kiichi Urahama, Optimal Parameters for Error-Diffusion Halftoning with Bilateral Filter, Journal of the Institute of Industrial Applications Engineers, 6, 4, 144-147, 2018.10, We propose a procedure for determining the parameters in the bilateral filter (BF) used for the errordiffusion halftoning where pixels are scanned in the ascending order of errors. In this halftoning, binarization errors produced at each pixel are diffused using the BF which contains two parameters, one of which is a spatial coefficient and another is for the signal intensity. The optimal values of these two parameters are determined by maximizing the PSNR of an output binary images against their input images. It is shown by experiments that the optimal value of the signal coefficient is slightly negative in contrast to popular usage of BF where the signal coefficient is usually set to a positive value..
6. Naoki Ono, Kiichi Urahama, Comparing Interpolations in Frequency Domain and Improvement of Interpolated Images by Using Cube of Pixel Differencs, Journal of the Institute of Industrial Applications Engineers, 6, 1, 9-16, 2018.01, We propose a method for improving image resolution. The method consists of an interpolation and a sharpening process. We research about some interpolations for producing high resolution images and show the properties of the interpolations in the frequency domain. Based on the research, we selected Lanczos function for the interpolation and applied the sharpening method which uses weighted sum of cubic operations of the pixel differences to the interpolated image. Experimental results also show that the sharpening with Lanczos interpolation gives clear high resolution images..
7. An-shui YU, Naoki Ono, Kohei Inoue, Hara Kenji, Kiichi Urahama, Backward Filtering of Images by Iterating Forward Filters, Journal of the Institute of Industrial Applications Engineers, 5, 4, 197-203, 2017.10, Given a filtering operation for images, we consider a problem for inverting it. If the algorithm of the original,i.e. forward filter is explicitly expressed, its inversion is tractable. However, if its algorithm is unknown exactly, it is hard to be reversed. We present, in this paper, a simple solution for this problem only by iterating the forward filter. This method can be used for a wide class of image filters including ones built in photo-retouch softwares. Examples are shown for smoothing, sharpening, halftoning and resizing filters..
8. An-shui YU, Naoki Ono, Kohei INOUE, Kenji HARA, Kiichi Urahama, Isoluminant Color Halftoning for Generating Pointillistic Tile Images and Photomosaics, Journal of the Institute of Industrial Applications Engineers, 5, 3, 104-110, 2017.07.
9. Halftoning Based on Smoothed Errors of Binary Images.
10. Yu GUA, Naoki Ono, Kiichi Urahama, Real-time Rendering of 3D Ink-wash Painting Based on Geometry Buffers, Journal of the Institute of Industrial Applications Engineers, 5, 2, 65-70, 2017.04.
11. Watercolor Stylization by Cross Trilateral Filter in RYB Color Space.
12. Naoki ONO, Kiichi URAHAMA, Tone Reproduction of Photographs by Affine Color Transformation, Journal of the Institute of Industrial Applications Engineers, 4, 4, 172-177, 2016.10.
13. Naoki ONO, Kiichi URAHAMA, Comparing Interpolations in Frequency Domain and Improvement of Interpolated Images by Using Cube of Pixel Difference, Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing (ICISIP), 184-191, 2016.09.
14. Yu Gu, Naoki ONO, Kiichi URAHAMA, Ink-painting Animation by Geometry Buffer Based Real-time 3D Rendering, Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing (ICISIP), 477-482, 2016.09.
15. Naoki ONO, Kiichi URAHAMA, Sharpening Interpolated Image by Using Cube of Pixel Difference and Evaluation in Frequency Domain, Journal of the Institute of Industrial Applications Engineers, 4, 2, 56-60, 2016.04.
16. Qi Zheng, Kohei Inoue, Naoki Ono, Kenji Hara, A Hough Transform for Detecting Facial Symmetry Axis, Journal of the Institute of Industrial Applications Engineers, 4, 1, 1-6, 2016.01.
17. Naoki ONO, Kiichi URAHAMA, Sharpening Interpolated Image by Using Cube of Pixel Difference, Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing (ICISIP), 44-48, 2015.09.
18. Zihan Yu, Kohei Inoue, Kenji Hara, Naoki Ono, Kiichi Urahama, Bilateral Minimum Filter for Dehazing Images, 11th International Conference on Quality Control by Artificial Vision (QCAV2013), 253-258, 2013.07.
19. 小野 直樹, 浦浜 喜一, Image Improvement by Using Noise Suppressing Unsharp Masking and Evaluation without Reference, Proceedings of International Workshop on Advanced Image Technology (IWAIT) 2013, 1128-1133, 2013.01.
20. Image Denoising with Updated Cross Bilateral Filter.
21. Fuzzy Hough Transform without Deletion of Detected Line Data.
22. Fuzzy Hough Transform by Iterative Relaxation Method.
23. Naoki ONO, Clustering of Moving Pixels by Motions and Positions with Fuzzy Hough Transform, Proceedings of 2001 International Technical Conference on Circuits/Systems, Computers and Communications, 1, 458-461, 2001.07.
24. Naoki ONO, Yee-Hong Yang, Motion Detection Using Electric Field Theory, Proceedings of 2000 International Technical Conference on Circuits/Systems, Computers and Communications, 2, 823-826, 2000.07.
25. Naoki ONO, Takamichi NAITO, Ryuzo TAKIYAMA, Face Detection from Artless Backgrounds, Proceedings of 1999 International Technical Conference on Circuits/Systems, Computers and Communications, 2, 939-942, 1999.07.
26. Monochromatic visualization of multiple images by projection pursuit.
27. Sequential extraction of clusters by Fuzzy Hough transforms.
28. Monochromatic visualization of multiple images by nonlinear projection pursuit.
29. Naoki ONO, Kiichi URAHAMA, Ryuzo TAKIYAMA, Monochromatic visualization of multiple images by nonlinear projection, Proceedings of 1997 International Technical Conference on Circuits/Systems, Computers and Communications, 237-240, 1997.07.
30. Naoki ONO, Ryuzo TAKIYAMA, Estimation of noise in uniform motion blurred images for restoration, Proceedings of 1996 IEEE International Symposium on Information Theory and Its Applications, 1, 108-111, 1996.09.
31. Naoki ONO, Ryuzo TAKIYAMA, Noise estimation for restoration of images degraded by uniform motion blur and additive noise, Proceedings of 1996 International Technical Conference on Circuits/Systems, Computers and Communications, 257-260, 1996.07.
32. Naoki ONO, Ryuzo TAKIYAMA, Kiichi URAHAMA, Recovering fidelity of images restored by regularized inverse filter, Proceedings of 1995 Joint Technical Conference on Circuits/Systems, Computers and Communications, 205-208, 1995.07.
33. Naoki ONO, Ryuzo TAKIYAMA, A comparative study on calculation methods for digital curvature, Proceedings of 1994 Joint Technical Conference on Circuits/Systems, Computers and Communications, 2, 1063-1073, 1994.07.
34. Interpolation of Sampled Curves by Using Curvature.
35. Naoki ONO, Interpolation of sampled curves by using curvature, Proceedings of 1993 Joint Technical Conference on Circuits/Systems, Computers and Communications, 2, 1001-1006, 1993.06.
36. R TAKIYAMA, N ONO, AN ITERATIVE PROCEDURE TO FIT AN ELLIPSE TO A SET OF POINTS, IEICE TRANSACTIONS ON COMMUNICATIONS ELECTRONICS INFORMATION AND SYSTEMS, 74, 10, 3041-3045, 1991.10, In computer vision and digital image processing it is an important task to estimate an ellipse most fitting a set of points. An ellipse is specified by nonlinearly constrained parameters, which are difficult to be reflected in a criterion function. We show that iterative processes are useful to solve problems in such a case, and propose an iterative procedure to fit an ellipse to a set of points. In the procedure the nonlinear constraints on parameters are represented by a properly defined nonlinear operator. Experimental results on personal computer indicate the effectiveness of the procedure..
37. Detection of the Circles by Using Sets of Perpendicular Bisectors.
38. Ryuzo TAKIYAMA, Naoki ONO, A monotonicity and an equilateral polygon approximation of closed curves, Proc. 1991 Joint Technical Conference on Circuits/Systems, Computers and Communications, 406-409, 1991.06.
39. Ryuzo TAKIYAMA, Naoki ONO, Elliptic fit to a set of points based on modified least square criterion, Digest of ninth Kobe International Symposium on Electronics and Information Sciences, 10-1-10-5, 1991.06.
40. Ryuzo TAKIYAMA, Naoki ONO, An iterative procedure to fit an ellipse to a set of points, Proc. 1990 Joint Technical Conference on Circuits/Systems, Computers and Communications, 273-277, 1990.12.
41. Ryuzo Takiyama, Naoki Ono, A least square error estimation of the center and radii of concentric arcs, Pattern Recognition Letters, 10.1016/0167-8655(89)90094-9, 10, 4, 237-242, 1989.10, When some concentric digital arcs are given, we show formulas for the modified least square error estimation of the common center and respective radii. © 1989..
42. Ryuzo TAKIYAMA, Naoki ONO, Restoration of rotationally blurred images, Proceedings of 9th International Conference on Pattern Recognition, 2, 1020-1022, 1988.11.
43. Naoki ONO, Ryuzo TAKIYAMA, On a formal description of digital polar coordinate transformation, Proc. 5th Scandinavian Conference on Image Analysis, 2, 459-466, 1987.06.
44. On a Method for Polar Coordinate Transformation of Digital Images.