Color imaging with an integrated compound imaging system

Tanida, Jun; Shogenji, Rui; Kitamura, Yoshiro; Yamada, Kenji; Miyamoto, Masatoshi; Miyatake, Shigehiro

doi:10.1364/oe.11.002109

Cited by 72 publications

(39 citation statements)

References 6 publications

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“…The principle of the pixel rearrange method is that the geometrical parameters of each unit image are first estimated to determine the position of the pixels, and then the pixels in all unit images are rearranged onto a virtual image plane with high resolution, and finally the interpolation is applied to compensate the pixels which are not assigned values. In 2003, the pixel rearrange The symbols -, D and R means unknown, diameter and radius method was extended to color imaging; and two configurations, color separation by pixels and color separation by units, were discussed (Tanida et al 2003). The result shows that the first configuration has a better performance than the second and is more complicated than the second in integration.…”

Section: Image Reconstructionmentioning

confidence: 99%

Artificial compound eye: a survey of the state-of-the-art

Jiang

Zhang

et al. 2016

Artif Intell Rev

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An artificial compound eye system is the bionic system of natural compound eyes with much wider field-of-view, better capacity to detect moving objects and higher sensitivity to light intensity than ordinary single-aperture eyes. In recent years, renewed attention has been paid to the artificial compound eyes, due to their better characteristics inheriting from insect compound eyes than ordinary optical imaging systems. This paper provides a comprehensive survey of the state-of-the-art work on artificial compound eyes. This review starts from natural compound eyes to artificial compound eyes including their system design, theoretical development and applications. The survey of artificial compound eyes is developed in terms of two main types: planar and curved artificial compound eyes. Finally, the most promising future research developments are highlighted.

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Section: Image Reconstructionmentioning

confidence: 99%

Artificial compound eye: a survey of the state-of-the-art

Jiang

Zhang

et al. 2016

Artif Intell Rev

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“…The possibilities for better performance include better resolution, better depth of field, better field of view, hardware improvements such as compact lightweight cameras as those in smartphones, etc. [4] In this work we study and demonstrate one concept in this general area that has received some attention recently -the capability of computational refocusing. Classes of systems with this capability are known as light field imaging systems [1] [2].…”

Section: Introductionmentioning

confidence: 99%

Imaging of Object at Multiple Depths with Single Exposure using Lightfield Concept

2016

IJSR

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Abstract:The lightfield camera is a computational camera that achieves imaging of object at multiple depths with single exposure.Instead of recording total intensity at each pixel as in usual camera, the lightfield camera system keeps track of directional distribution of light at each pixel. This information enables us to perform computational refocusing. The commercial product has been recently introduced by Lytro systems. We have studied working related to the computational photography and after this we have developed some code in matalab for recording the intensity pattern at detector and also developed code for image recovery. Finally we did experimental work and recorded the Light field and then applied image recovery algorithm. After this we got the photograph of an object at different depth from the single recoded pattern at a particular location.

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“…For example, microlens array are more suitable in the extremely miniaturized imaging systems and 3D light field cameras [6]. In addition, the high quality microlens arrays were applied in color imaging systems, 3D image acquisition systems and fingerprint identification systems [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Fabrication of Microlens Array and Its Application: A Review

Wang

Lee

et al. 2018

Chin. J. Mech. Eng.

125

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Microlens arrays are the key component in the next generation of 3D imaging system, for it exhibits some good optical properties such as extremely large field of view angles, low aberration and distortion, high temporal resolution and infinite depth of field. Although many fabrication methods or processes are proposed for manufacturing such precision component, however, those methods still need to be improved. In this review, those fabrication methods are categorized into direct and indirect method and compared in detail. Two main challenges in manufacturing microlens array are identified: how to obtain a microlens array with good uniformity in a large area and how to produce the microlens array on a curved surface? In order to effectively achieve control of the geometry of a microlens, indirect methods involving the use of 3D molds and replication technologies are suggested. Further development of ultraprecision machining technology is needed to reduce the surface fluctuation by considering the dynamics of machine tool in tool path planning. Finally, the challenges and opportunities of manufacturing microlens array in industry and academic research are discussed and several principle conclusions are drawn.

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Color imaging with an integrated compound imaging system

Cited by 72 publications

References 6 publications

Artificial compound eye: a survey of the state-of-the-art

Artificial compound eye: a survey of the state-of-the-art

Imaging of Object at Multiple Depths with Single Exposure using Lightfield Concept

Fabrication of Microlens Array and Its Application: A Review

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