Free Viewpoint, Iris and Focus Image Generation by Using a Three-Dimensional Filtering Based on Frequency Analysis of Blurs

Mo, Hiroshi; Kubota, Akira

doi:10.1109/icassp.2006.1660420

Cited by 18 publications

(13 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the future, we would like to extend the method for high-speed reconstruction of more various images such as free viewpoint images from multi-focus imaging sequences [8,10]. In addition, we will consider the possibility of hardware implementation to realize our proposed method with real-time speed for all-in-focus video [11].…”

Section: Resultsmentioning

confidence: 95%

See 1 more Smart Citation

High-Speed All-in-Focus Image Reconstruction by Merging Multiple Differently Focused Images

Kubota

2006

Advances in Multimedia Information Processing - PCM 2006

View full text Add to dashboard Cite

Abstract. 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 multifocus imaging sequences based on spatial frequency analysis using threedimensional 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.

show abstract

Section: Resultsmentioning

confidence: 95%

“…These methods are not easy to extend for merging very many images, for example, to restore textures of complex scenes. Therefore, we deal with a method of integrating the multiple differently focused images into desired images directly [9,10].…”

Section: Introductionmentioning

confidence: 99%

High-Speed All-in-Focus Image Reconstruction by Merging Multiple Differently Focused Images

Kubota

2006

Advances in Multimedia Information Processing - PCM 2006

View full text Add to dashboard Cite

show abstract

“…We have studied scene refocusing by applying linear filters to a sequence of multi-focus images as 3D information, where multi-focus images line up in the direction orthogonal to each 2D image [36]- [42]. According to 3D frequency analysis of the sequence, it includes sufficient frequency components corresponding to 4D light field on the lens plane, although 3D scene information such as depths is not completely preserved in the sequence.…”

Section: B Motivation Of Our Researchmentioning

confidence: 99%

Efficient Reconstruction of All-in-Focus Images Through Shifted Pinholes From Multi-Focus Images for Dense Light Field Synthesis and Rendering

Kubota

2013

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Scene refocusing beyond extended depth of field for users to observe objects effectively is aimed by researchers in computational photography, microscopic imaging, and so on. Ordinary all-in-focus image reconstruction from a sequence of multi-focus images achieves extended depth of field, where reconstructed images would be captured through a pinhole in the center on the lens. In this paper, we propose a novel method for reconstructing all-in-focus images through shifted pinholes on the lens based on 3D frequency analysis of multi-focus images. Such shifted pinhole images are obtained by a linear combination of multi-focus images with scene-independent 2D filters in the frequency domain. The proposed method enables us to efficiently synthesize dense 4D light field on the lens plane for image-based rendering, especially, robust scene refocusing with arbitrary bokeh. Our novel method using simple linear filters achieves not only reconstruction of all-in-focus images even for shifted pinholes more robustly than the conventional methods depending on scene/focus estimation, but also scene refocusing without suffering from limitation of resolution in comparison with recent approaches using special devices such as lens arrays in computational photography.

show abstract

“…Thus, various images, including an all-in-focus image corresponding to an ideal pin-hole iris [Kodama et al 2005], can be generated from multi-focus imaging sequences without any depth estimation. Interestingly, where the region of the virtual iris is inside that of the original iris, the filter H a (u, v, w)H −1 (u, v, w) uniquely exists and remains robust [Kodama et al 2006]. …”

Section: Algorithmmentioning

confidence: 99%

Virtual bokeh generation from a single system of lenses

Kubota

2006

ACM SIGGRAPH 2006 Research Posters on - SIGGRAPH '06

View full text Add to dashboard Cite

Free Viewpoint, Iris and Focus Image Generation by Using a Three-Dimensional Filtering Based on Frequency Analysis of Blurs

Cited by 18 publications

References 6 publications

High-Speed All-in-Focus Image Reconstruction by Merging Multiple Differently Focused Images

High-Speed All-in-Focus Image Reconstruction by Merging Multiple Differently Focused Images

Efficient Reconstruction of All-in-Focus Images Through Shifted Pinholes From Multi-Focus Images for Dense Light Field Synthesis and Rendering

Virtual bokeh generation from a single system of lenses

Contact Info

Product

Resources

About