High-Speed All-in-Focus Image Reconstruction by Merging Multiple Differently Focused Images
This paper deals with high-speed all-in-focus image reconstruction by merging multiple differently focused images. Previously, we proposed a method of generating an all-in-focus image from multi-focus imaging sequences based on spatial frequency analysis using three-dimensional FFT. In this paper, first, we combine the sequence into a two-dimensional image having fine quantization step size. Then, just by applying a certain convolution using two-dimensional FFT to the image, we realize high-speed reconstruction of all-in-focus images robustly. Some simulations utilizing synthetic images are shown and conditions achieving the good quality of reconstructed images are discussed. We also show experimental results of high-speed all-in-focus image reconstruction compared with those of the previous method by using real images.
KeywordsImage Plane Image Reconstruction Real Image Synthetic Image Focus Image
Unable to display preview. Download preview PDF.
- 3.Burt, P.J., Kolczynski, R.J.: Enhanced Image Capture Through Fusion. In: Proc. 4th ICCV, pp. 173–182 (1993)Google Scholar
- 4.Pavel, M., Larimer, J., Ahumada, A.: Sensor Fusion for Synthetic Vision. In: AIAA Computing in Aerospace Conference, pp. 164–173 (1991)Google Scholar
- 5.Li, H., Manjunath, B.S., Mitra, S.K.: Multi-Sensor Image Fusion Using the Wavelet Transform. In: 1994 IEEE International Conference on Image Processing, vol. I, pp. 51–55 (1994)Google Scholar
- 6.Subbarao, M., Agarwal, N.B., Surya, G.: Application of Spatial-Domain Convolution/Deconvolution Transform for Determining Distance from Image Defocus. Computer Vision Laboratory, Stony Brook, Tech.Report 92.01.18 (1992)Google Scholar
- 7.Kubota, A., Kodama, K., Aizawa, K.: Registration and blur estimation methods for multiple differently focused images. In: 1999 IEEE International Conference on Image Processing, vol. II, pp. 447–451 (1999)Google Scholar
- 10.Kodama, K., Mo, H., Kubota, A.: Free Viewpoint, Iris and Focus Image Generation by Using a Three-Dimensional Filtering based on Frequency Analysis of Blurs. In: 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. II, pp. 625–628 (2006)Google Scholar