Software pixel interpolation for digital still cameras suitable for a 32-bit MCU

Sakamoto, Tadashi; Nakanishi, Chikako; Hase, Tomohiro

doi:10.1109/30.735836

Cited by 129 publications

(68 citation statements)

References 4 publications

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“…In our simulation, the bilinear zooming method (BI) [8] were combined with some state-of-the-art demosaicing methods such as [5] (BICD), [2] (ACPI), [3] (AP) and [4] (AHDDA) to produce zoomed full-color images for comparison. Besides, the algorithm proposed in [12] (DCZPS) was also realized.…”

Section: Simulation Resultsmentioning

confidence: 99%

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An Efficient Combined Demosaicing and Zooming Algorithm for Digital Camera

Chung

Chan

et al. 2007

2007 IEEE International Conference on Image Processing

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Abstract-Color demosaicing and digital zooming are common processes in digital cameras and they often employ similar interpolation concepts based on the information extracted from the raw sensor data. Realizing them independently is not efficient as separate extraction processes are required. It may also cause inconsistent utilization of the raw sensor data in different stages. This paper presents a low-complexity combined algorithm which directly extracts edge information from raw sensor data and exploits it consistently and efficiently in both demosaicing and zooming. The proposed algorithm can produce zoomed full-color images and zoomed CFA images with outstanding performance as compared with conventional approaches.

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Section: Simulation Resultsmentioning

confidence: 99%

“…1. To convert them to full-color images, the two missing color components of each pixel have to be estimated by color demosaicing [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Combined Demosaicing and Zooming Algorithm for Digital Camera

Chung

Chan

et al. 2007

2007 IEEE International Conference on Image Processing

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“…To obtain an image in bit map, a Bayer to RGB converter is required, there are several methods. The bilinear interpolation method together with that of linear interpolation was chosen; this correlation was taken into consideration as it presents better characteristics in comparison with others (Sakamoto et al, 1998). A brief description of the method is as follows.…”

Section: Bayer Formatmentioning

confidence: 99%

Acquisition and Digital Images Processing, Comparative Analysis of FPGA, DSP, PC for the Subtraction and Thresholding.

Ramírez¹,

Enseñat²,

Más³

2009

Image Processing

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“…The true color of a single pixel can be determined by averaging the values from the closest surrounding pixels. 6 To compose a stereoscopic image we used two pairs of matched beam splitter and different color backlightings. As each pixel in the camera has a peak sensitivity to red, green, or blue light [ Fig.…”

mentioning

confidence: 99%

“…The y-z projection ("X" image) was illuminated by red light (2), which was reflected by a dichroic mirror (4) (Thor Labs, DMLP900) before transmitting through a long-pass dichroic beamsplitter (6) (Thor Labs, DMLP567R) into the camera (7). In comparison, the x-y projection ("Z" image) was backlit by a blue light (3), which was reflected by a metallic mirror (5) (Edmund Optics, NT43-873) and subsequently by the dichroic beamsplitter (6). The mirrors were aligned so that the x-y and y-z projections are superimposed and recorded simultaneously by the camera through a long distance microscope (Infinity K2 with CF-4 lens) at the same magnification.…”

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confidence: 99%

Stereoscopic high-speed imaging using additive colors

Sankin

Piech

Zhong

2012

Review of Scientific Instruments

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An experimental system for digital stereoscopic imaging produced by using a high-speed color camera is described. Two bright-field image projections of a three-dimensional object are captured utilizing additive-color backlighting (blue and red). The two images are simultaneously combined on a two-dimensional image sensor using a set of dichromatic mirrors, and stored for off-line separation of each projection. This method has been demonstrated in analyzing cavitation bubble dynamics near boundaries. This technique may be useful for flow visualization and in machine vision applications. © 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.3697747] Recent advances in digital imaging have significantly reduced data acquisition time, making it an indispensable technique in scientific research. Although the technique is often used for flow visualization in transparent fluids containing bubbles, drops, or biological cells, 1 understanding the complex shape and motion of an object in three-dimensional (3D) space is often limited by observation from a single view. For example, the collapse of a bubble near a boundary has revealed dissimilar shape change and flow patterns when observed from different directions either parallel or perpendicular to the boundary. 2 Hence, it is important to achieve simultaneous observations of the interaction in two orthogonal directions. Such an effort has been made via stereoscopic imaging using a mirror system 3 or multiple synchronized video-cameras. 4 However, the mirror system lacks trimming/separation of individual optical paths because of uniform illumination spectrum, while the use of multiple cameras has inherent limitation in cluttering with increased costs.In this paper we introduce a method for simultaneous imaging of fluid dynamics from two orthogonal projection planes using a color digital camera combined with additive color illumination. This method is illustrated by examining the effect of two boundaries on the dynamics of cavitation bubbles produced between them. Figure 1 shows schematically the experimental setup for producing two orthogonal projection images of a 3D object, which are superimposed and captured simultaneously by using a high-speed 14-bit color CMOS camera (Vision Research Inc., Phantom v.7.3, 1 μs exposure). In general, color imaging in a digital camera is implemented by depositing photoresist color filter arrays (CFA) in a mosaic pattern placed on top of the sensor array. Specifically, the Phantom camera utilizes the Bayer filter pattern, 5 which alternates a row of red and green filters with a row of blue and green filters. The filters in the CFA are not evenly divided, using a color petition scheme of 50% green, 25% red, and 25% blue, known as RGBG array. This method has the advantage that only one image sensor is required with all the color information (red, green, and blue) a) Authors to whom correspondence should be addressed. Electronic addresses: gns@duke.edu and pzhong@duke.edu.recorded simultaneously. The true color of a single pixe...

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Software pixel interpolation for digital still cameras suitable for a 32-bit MCU

Cited by 129 publications

References 4 publications

An Efficient Combined Demosaicing and Zooming Algorithm for Digital Camera

An Efficient Combined Demosaicing and Zooming Algorithm for Digital Camera

Acquisition and Digital Images Processing, Comparative Analysis of FPGA, DSP, PC for the Subtraction and Thresholding.

Stereoscopic high-speed imaging using additive colors

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