參考文獻 |
1. A. Khazanchi, A. Kanwar, L. Saluja, A. Damara, and V. Damara, “OLED: a new display
technology,” Int. J. Eng. Comput. Sci. 1, 75-84 (2012).
2.CIPA, “Digital Cameras Update History,” https://www.cipa.jp/e/stats/dc-2023.html.
3.A. El Gamal, D. X. Yang, and B. A. Fowler, “Pixel-level processing: why, what, and how,”
presented at Sensors, Cameras, and Applications for Digital Photography, San Jose,
United States, 23-29 January 1999.
4. C. T. Huang, N. S. Shongwe, and C. Y. Weng, “Enhanced Embedding Capacity for Data
Hiding Approach Based on Pixel Value Differencing and Pixel Shifting Technology,”
Electronics 12, 1200 (2023).
5.Sony, “Pixel Shift Multi Shooting,” https://reurl.cc/GpVGaW.
6.M. F. Tompsett, G. F. Amelio, W. Bertram, R. R. Buckley, W. McNamara, J. Mikkelsen,
and D. Sealer, “Charge-coupled imaging devices: Experimental results,” IEEE Trans.
Electron Device 18, 992-996 (1971).
7.D. Litwiller,“CCD vs. COMS:Facts and Fiction,” Photonics Spectra 35, 154-158
(2001).
8.B. K. Gunturk, J. Glotzbach, Y. Altunbasak, R. W. Schafer, and R. M. Mersereau,
“Demosaicking: color filter array interpolation,” IEEE Signal Process. Mag. 22, 44-54
(2005).
9.F. Gasparini, and R. Schettini, “Color correction for digital photographs,” presented at
12th International Conference on Image Analysis and Processing, Mantova, Italy, 17-19
September 2003.
10. B. E. Bayer, “Color imaging array,” United States Patent, US3971065A (1976).
11. K. Hirakawa, and P. J. Wolfe, “Spatio-spectral color filter array design for optimal image
recovery,” IEEE Trans. Image Process. 17, 1876-1890 (2008).
75
12. C. Solomon, and T. Breckon, Fundamentals of Digital Image Processing. (Wiley
Blackwell, 2010).
13. R. C. Gonzalez, and R. E. Woods, Digital Image Processing Third Edition. (Upper Saddle
River, New Jersey, 2008).
14. Y. Ge, Q. Zhang, Y. Sun, Y. Shen, and X. Wang, “Grayscale medical image segmentation
method based on 2D&3D object detection with deep learning,” BMC Med Imaging 22,
33 (2022).
15. D. Chaudhuri, N. K. Kushwaha, A. Samal, and R. Agarwal, “Automatic building
detection from high-resolution satellite images based on morphology and internal gray
variance,” IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 9, 1767-1779 (2015).
16. X. Zhang, J. Cui, W. Wang, and C. Lin, “A study for texture feature extraction of high
resolution satellite images based on a direction measure and gray level co-occurrence
matrix fusion algorithm,” Sensors 17, 1474 (2017).
17. T. Xu, M. Xu, Y. Ren, J. Xu, H. Zhang, and N. Zheng, “A File Fragment Classification
Method Based on Grayscale Image,” J. Comput. 9, 1863-1870 (2014).
18. I. ?eger, and S. Grgi?, “An overview of grayscale image colorization methods,” presented
at 2020 International Symposium ELMAR, Zadar, Croatia, 14-15 September 2020.
19. K. Zhang, D. Li, W. Luo, W. Ren, B. Stenger, W. Liu, H. Li, and M.-H. Yang,
“Benchmarking ultra-high-definition image super-resolution,” presented at Proceedings
of the IEEE/CVF International Conference on Computer Vision, Montreal, Canada, 10
17 October 2021.
20. R. Reulke, and A. Eckardt, “Image quality and image resolution,” presented at 2013
Seventh International Conference on Sensing Technology, Wellington, New Zealand, 3
5 December 2013.
21. C. Solomon, and T. Breckon, Fundamentals of Digital Image Processing: A practical
approach with examples in Matlab. (John Wiley & Sons, 2011).
76
22. I. Bankman, Handbook of Medical Image Processing and Analysis. (Elsevier,
Amsterdam, The Netherlands, 2008).
23. O. Rukundo, and H. Cao, “Nearest neighbor value interpolation,” Int. J. Adv. Comput.
Sci. Appl. 3, 25-30 (2012).
24. E. J. Kirkland, and E. J. Kirkland, “Bilinear interpolation,” Advanced Computing in
Electron Microscopy, 261-263 (2010).
25. K. T. Gribbon, and D. G. Bailey, “A novel approach to real-time bilinear interpolation,”
presented at Proceedings. DELTA 2004. Second IEEE International Workshop on
Electronic Design, Test and Applications, Perth, Australia, 28-30 January 2004.
26. S. Gao, and V. Gruev, “Bilinear and bicubic interpolation methods for division of focal
plane polarimeters,” Opt. Express 19, 26161-26173 (2011).
27. M. Hidane, M. El Gheche, J. F. Aujol, Y. Berthoumieu, and C. A. Deledalle, “Image zoom
completion,” IEEE Trans. Image Process. 25, 3505-3517 (2016).
28. H. S. Stone, B. Tao, and M. McGuire, “Analysis of image registration noise due to
rotationally dependent aliasing,” J. Visual Commun. Image Representation 14, 114-135
(2003).
29. E. O′Neill, “Spatial filtering in optics,” IEEE Trans. Inf. Theory 2, 56-65 (1956).
30. J. Hunt, J. Glaze, W. Simmons, and P. Renard, “Suppression of self-focusing through
low-pass spatial filtering and relay imaging,” Appl. Opt. 17, 2053-2057 (1978).
31. M. Young, “Low-cost LCD video display for optical processing,” Appl. Opt. 25, 1024
1026 (1986).
32. F. Zhou, X. Li, and Z. Li, “High-frequency details enhancing DenseNet for super
resolution,” Neurocomputing 290, 34-42 (2018).
33. T. Acharya, and A. K. Ray, Image processing: principles and applications. (John Wiley
& Sons, 2005).
34. A. Alaghi, C. Li, and J. P. Hayes, “Stochastic circuits for real-time image-processing
77
applications,” presented at Proceedings of the 50th Annual Design Automation
Conference,New York, United States, 29 May 2013.
35. I. Pitas, Digital image processing algorithms and applications. (John Wiley & Sons,
2000).
36. I. Lissner, J. Preiss, P. Urban, M. S. Lichtenauer, and P. Zolliker, “Image-difference
prediction: From grayscale to color,” IEEE Trans. Image Process. 22, 435-446 (2012).
37. J. J. Benedetto, and P. J. Ferreira, Modern sampling theory: mathematics and applications.
(Springer Science & Business Media, 2012).
38. D. Fraser, “Interpolation by the FFT revisited-an experimental investigation,” IEEE Trans.
Acoust., Speech Signal Process. 37, 665-675 (1989).
39. B. Xu, T. Han, Z. Zhang, X. Liu, and M. Ju, “Research on Sub-Nyquist Rate Sampling
Method Based on Sparse Fourier Transform Theory,” presented at 2021 IEEE 4th
International Conference on Electronics Technology, Chengdu, China, 7-10 May 2021.
40. S. He, and M. Torkelson, “Computing partial DFT for comb spectrum evaluation,” IEEE
Signal Process. Lett. 3, 173-175 (1996).
41. I. McCowan, D. Dean, M. McLaren, R. Vogt, and S. Sridharan, “The delta-phase
spectrum with application to voice activity detection and speaker recognition,” IEEE
Trans. Audio, Speech Language Process. 19, 2026-2038 (2011).
42. R. Verma, and J. Ali, “A comparative study of various types of image noise and efficient
noise removal techniques,” International Journal of Advanced Research in Computer
Science and Software Engineering 3, (2013).
43. S. Pyatykh, J. Hesser, and L. Zheng, “Image noise level estimation by principal
component analysis,” IEEE Trans. Image Process. 22, 687-699 (2012).
44. P. Heckbert, “Fourier transforms and the fast Fourier transform (FFT) algorithm,”
Comput. Graph. 2, 15-463 (1995).
45. P. T. Gough, “A fast spectral estimation algorithm based on the FFT,” IEEE transactions
78
on signal processing 42, 1317-1322 (1994).
46. Y.-W. Lin, and C.-Y. Lee, “Design of an FFT/IFFT processor for MIMO OFDM systems,”
IEEE Trans. Circuits Syst. I, Reg. Papers 54, 807-815 (2007).
47. L. Hu, L. Wang, X. Chen, and J. Yang, “Image subtraction in Fourier space,” The
Astrophy. J. 936, 157 (2022).
48. 孫慶成,光電工程概論(全華圖書股份有限公司,新北市,2012)。。
49. J. W. Goodman, Introduction to Fourier Optics, Third Edition. (Roberts and Company
publishers, 2005).
50. F. Tokluoglu, “Drone Shot of the ITU Faculty of Architecture,” https://reurl.cc/qv8Zkp. |