Design of an event-driven random-access-windowing CCD-based camera

Monacos, Steve; Lam, Raymond; Portillo, Angel; Ortiz, G.G.

doi:10.1117/12.478941

Cited by 9 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This evaluation method is widely used in the studies of CS-SDOCT [9,14,16]. A CCD camera with randomly addressable pixels [9,[34][35][36] can be used to practically implement random undersampling of spectral data in an SDOCT system.…”

Section: Resultsmentioning

confidence: 99%

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Huang

Kang

2013

Biomed. Opt. Express

View full text Add to dashboard Cite

We propose a novel compressive sensing (CS) method on spectral domain optical coherence tomography (SDOCT). By replacing the widely used uniform discrete Fourier transform (UDFT) matrix with a new sensing matrix which is a modification of the non-uniform discrete Fourier transform (NUDFT) matrix, it is shown that undersampled non-linear wavenumber spectral data can be used directly in the CS reconstruction. Thus k-space grid filling and k-linear mask calibration which were proposed to obtain linear wavenumber sampling from the non-linear wavenumber interferometric spectra in previous studies of CS in SDOCT (CS-SDOCT) are no longer needed. The NUDFT matrix is modified to promote the sparsity of reconstructed A-scans by making them symmetric while preserving the value of the desired half. In addition, we show that dispersion compensation can be implemented by multiplying the frequency-dependent correcting phase directly to the real spectra, eliminating the need for constructing complex component of the real spectra. This enables the incorporation of dispersion compensation into the CS reconstruction by adding the correcting term to the modified NUDFT matrix. With this new sensing matrix, A-scan with dispersion compensation can be reconstructed from undersampled non-linear wavenumber spectral data by CS reconstruction. Experimental results show that proposed method can achieve high quality imaging with dispersion compensation.

show abstract

Section: Resultsmentioning

confidence: 99%

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Huang

Kang

2013

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…The random undersampling of CS SD OCT spectral data can be realized by using a CCD camera with randomly addressable pixels, which has been developed for high speed imaging [ 20 , 21 ]. Here we use a standard CCD array with 2048 pixels to take spectral measurements.…”

Section: Resultsmentioning

confidence: 99%

“…Currently, it is true that an array detector with fewer pixels arranged randomly is not a cost-effective and a practical way to implement the compressed SD-OCT, but random undersampling can be achieved by selectively digitizing pixels of interest through low-level camera control, such as in Refs. [ 20 ] and [ 21 ]. Although the cost of such random accessible camera is more than a standard high speed CCD, it does improve the imaging speed.…”

Section: Discussionmentioning

confidence: 99%

Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

Kang

2010

Opt. Express

View full text Add to dashboard Cite

We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achieved this by applying pseudo-random masks to sample 62.5%, 50%, and 37.5% of the CCD camera pixels. OCT images are reconstructed by solving an optimization problem that minimizes the l 1 norm of a transformed image to enforce sparsity, subject to data consistency constraints. CS could allow an array detector with fewer pixels to reconstruct high resolution OCT images while reducing the total amount of data required to process the images.

show abstract

“…A single array detector in some systems performs both spatial acquisition and tracking functions to detect pointing errors, so both wide field of view and high update rate is required [1]. Functions of the array detector in an IOC system are as following:…”

Section: Introductionmentioning

confidence: 99%

Detection of pointing errors with CMOS-based camera in intersatellite optical communications

Tan

2005

SPIE Proceedings

View full text Add to dashboard Cite

For very high data rates, intersatellite optical communications hold a potential performance edge over microwave communications. Acquisition and Tracking problem is critical because of the narrow transmit beam. A single array detector in some systems performs both spatial acquisition and tracking functions to detect pointing errors, so both wide field of view and high update rate is required. The past systems tend to employ CCD-based camera with complex readout arrangements, but the additional complexity reduces the applicability of the array based tracking concept. With the development of CMOS array, CMOS-based cameras can employ the single array detector concept. The area of interest feature of the CMOS-based camera allows a PAT system to specify portion of the array. The maximum allowed frame rate increases as the size of the area of interest decreases under certain conditions. A commercially available CMOS camera with 105 fps @ 640×480 is employed in our PAT simulation system, in which only part pixels are used in fact. Beams angle varying in the field of view can be detected after getting across a Cassegrain telescope and an optical focus system. Spot pixel values (8 bits per pixel) reading out from CMOS are transmitted to a DSP subsystem via IEEE 1394 bus, and pointing errors can be computed by the centroid equation. It was shown in test that: (1) 500 fps @ 100×100 is available in acquisition when the field of view is 1mrad; (2)3k fps @ 10×10 is available in tracking when the field of view is 0.1mrad.

show abstract

Design of an event-driven random-access-windowing CCD-based camera

Cited by 9 publications

References 1 publication

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

Detection of pointing errors with CMOS-based camera in intersatellite optical communications

Contact Info

Product

Resources

About