Stereo one-shot six-band camera system for accurate color reproduction

Tsuchida, Masanori; Sakai, Shuji; Miura, M.; Ito, Koichi; Kawanishi, Takahito; Kashino, Kunio; Yamato, Junji; Aoki, Takafumi

doi:10.1117/1.jei.22.3.033025

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…A solution method for reliably capturing dynamic natural scenes is to construct a one-shot multi-band imaging system. In practice, the system can be constructed using a stereo system [31,32] or multispectral filter array [33,34]. However, these proposed multiband imaging systems are neither omnidirectional nor HDR.…”

Section: Introductionmentioning

confidence: 99%

High-Dynamic-Range Spectral Imaging System for Omnidirectional Scene Capture

et al. 2018

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Omnidirectional imaging technology has been widely used for scene archiving. It has been a crucial technology in many fields including computer vision, image analysis and virtual reality. It should be noted that the dynamic range of luminance values in a natural scene is quite large, and the scenes containing various objects and light sources consist of various spectral power distributions. Therefore, this paper proposes a system for acquiring high dynamic range (HDR) spectral images for capturing omnidirectional scenes. The system is constructed using two programmable high-speed video cameras with specific lenses and a programmable rotating table. Two different types of color filters are mounted on the two-color video cameras for six-band image acquisition. We present several algorithms for HDR image synthesis, lens distortion correction, image registration, and omnidirectional image synthesis. Spectral power distributions of illuminants (color signals) are recovered from the captured six-band images based on the Wiener estimation algorithm. In this paper, we present two types of applications based on our imaging system: time-lapse imaging and gigapixel imaging. The performance of the proposed system is discussed in detail in terms of the system configurations, acquisition time, artifacts, and spectral estimation accuracy. Experimental results in actual scenes demonstrate that the proposed system is feasible and powerful for acquiring HDR spectral scenes through time-lapse or gigapixel omnidirectional imaging approaches. Finally, we apply the captured omnidirectional images to time-lapse spectral Computer Graphics (CG) renderings and spectral-based relighting of an indoor gigapixel image.

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Section: Introductionmentioning

confidence: 99%

High-Dynamic-Range Spectral Imaging System for Omnidirectional Scene Capture

et al. 2018

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“…As discussed in explanations of Figure 15, increasing the gain in order to reduce the exposure time also results in a decreased exposure, and thus, a drop in SNR. On the other hand, sensor alignment and demosaicing in multi-sensor cameras are notoriously hard tasks that if not treated, they affect the image quality [15,56]. Studying the impact of these spatial factors is not possible with color patches or simulated images.…”

Section: Discussionmentioning

confidence: 99%

Configuration and Registration of Multi-Camera Spectral Image Database of Icon Paintings

Mirhashemi

2019

Computation

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At the cost of added complexity and time, hyperspectral imaging provides a more accurate measure of the scene’s irradiance compared to an RGB camera. Several camera designs with more than three channels have been proposed to improve the accuracy. The accuracy is often evaluated based on the estimation quality of the spectral data. Currently, such evaluations are carried out with either simulated data or color charts to relax the spatial registration requirement between the images. To overcome this limitation, this article presents an accurately registered image database of six icon paintings captured with five cameras with different number of channels, ranging from three (RGB) to more than a hundred (hyperspectral camera). Icons are challenging topics because they have complex surfaces that reflect light specularly with a high dynamic range. Two contributions are proposed to tackle this challenge. First, an imaging configuration is carefully arranged to control the specular reflection, confine the dynamic range, and provide a consistent signal-to-noise ratio for all the camera channels. Second, a multi-camera, feature-based registration method is proposed with an iterative outlier removal phase that improves the convergence and the accuracy of the process. The method was tested against three other approaches with different features or registration models.

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“…Comparison of color reproduction accuracy with other systems is not easy because there are few studies to show the comprehensive evaluation of the total color image production including both the camera and display devices . We have found that the current color reproduction performances in the three projection systems are roughly comparable with a real‐time video system using six‐band HDTV camera and six‐primary display…”

Section: Algorithm To Design Practical Illuminantsmentioning

confidence: 95%

An integrated spectral imaging system for producing color images of static and moving objects

Tominaga

Nishioka

Horiuchi

2014

Color Research & Application

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An integrated spectral imaging system constructed by synchronizing a programmable light source, a high-speed monochrome camera, and a display device is proposed to produce tristimulus images of static and moving objects effectively in real time onto the display. This system is called the CIE-XYZ display. Active spectral illuminants, containing both the device characteristics of camera and display, are projected onto object surfaces as time sequence. The images are captured synchronously by the camera and quickly transmitted to the display device in the RGB signal form so that the accurate tristimulus images are displayed. First, we describe the principle of the CIE-XYZ tristimulus display. The theoretically optimal illuminants contain negative parts in the spectral curves. Second, we design practical illuminants with all positive spectral curves. The color images in our system are composed of the time sequence of RGB component images. Then, the synthesized color images on the display contain color artifacts when objects move fast. An image processing algorithm for correcting the motion color artifact is proposed based on optical flow estimation using a graphics processing unit. The comprehensive performance of the proposed system and algorithms is examined using both static and moving objects.

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Stereo one-shot six-band camera system for accurate color reproduction

Cited by 9 publications

References 13 publications

High-Dynamic-Range Spectral Imaging System for Omnidirectional Scene Capture

High-Dynamic-Range Spectral Imaging System for Omnidirectional Scene Capture

Configuration and Registration of Multi-Camera Spectral Image Database of Icon Paintings

An integrated spectral imaging system for producing color images of static and moving objects

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