An Efficient Pipeline Wavefront Phase Recovery for the CAFADIS Camera for Extremely Large Telescopes

Magdaleno

et al. 2014

Sensors

Self Cite

Plenoptic cameras are a new type of sensor that extend the possibilities of current commercial cameras allowing 3D refocusing or the capture of 3D depths. One of the limitations of plenoptic cameras is their limited spatial resolution. In this paper we describe a fast, specialized hardware implementation of a super-resolution algorithm for plenoptic cameras. The algorithm has been designed for field programmable graphic array (FPGA) devices using VHDL (very high speed integrated circuit (VHSIC) hardware description language). With this technology, we obtain an acceleration of several orders of magnitude using its extremely high-performance signal processing capability through parallelism and pipeline architecture. The system has been developed using generics of the VHDL language. This allows a very versatile and parameterizable system. The system user can easily modify parameters such as data width, number of microlenses of the plenoptic camera, their size and shape, and the super-resolution factor. The speed of the algorithm in FPGA has been successfully compared with the execution using a conventional computer for several image sizes and different 3D refocusing planes.

Arithmetic computations are performed in pipeline and as parallel as possible.

The algorithm is implemented fully in parallel for each color component.

We have used a hardware divider that performs the division operation for the normalization task in a single clock cycle.

…”

Section: Algorithm To Hardwarementioning

confidence: 99%

“…The algorithm can be accelerated using parallel processing power of FPGAs instead of other classical technology platforms [ 15 , 16 ]. In our implementation the improvements are due to the fact that: Arithmetic computations are performed in pipeline and as parallel as possible.…”

Section: Algorithm To Hardwarementioning

confidence: 99%

Super-Resolution in Plenoptic Cameras Using FPGAs

Magdaleno

et al. 2014

Sensors

Self Cite

“…These data are obtained alternately (even and odd pixels) in line with the inherent addressing of the algorithm to minimize resources and execution time. The distance data can be flipped using a double dual-port memory system at the output of the minimum plane module preserving the pipeline [ 18 , 19 ].…”

Section: Algorithm To Hardwarementioning

confidence: 99%

Design of Belief Propagation Based on FPGA for the Multistereo CAFADIS Camera

Magdaleno

Luke

Rodríguez

et al. 2010

Sensors

Self Cite

In this paper we describe a fast, specialized hardware implementation of the belief propagation algorithm for the CAFADIS camera, a new plenoptic sensor patented by the University of La Laguna. This camera captures the lightfield of the scene and can be used to find out at which depth each pixel is in focus. The algorithm has been designed for FPGA devices using VHDL. We propose a parallel and pipeline architecture to implement the algorithm without external memory. Although the BRAM resources of the device increase considerably, we can maintain real-time restrictions by using extremely high-performance signal processing capability through parallelism and by accessing several memories simultaneously. The quantifying results with 16 bit precision have shown that performances are really close to the original Matlab programmed algorithm.

“…They have the properties of a higher adherence string of the salinized ISFET gate's surface [21]. In order to expand ion-selective membranes, numerous polymers such as polysiloxanes, polyurethanes, and different methacrylate-derived polymers have been reported to be good candidates [22,23]. These new polymers show promising results regarding consistency and longer stability compared to PVC membranes [24].…”

Section: Introductionmentioning

confidence: 99%

Analytical modelling of monolayer graphene-based ion-sensitive FET to pH changes

et al. 2013

Graphene has attracted great interest because of unique properties such as high sensitivity, high mobility, and biocompatibility. It is also known as a superior candidate for pH sensing. Graphene-based ion-sensitive field-effect transistor (ISFET) is currently getting much attention as a novel material with organic nature and ionic liquid gate that is intrinsically sensitive to pH changes. pH is an important factor in enzyme stabilities which can affect the enzymatic reaction and broaden the number of enzyme applications. More accurate and consistent results of enzymes must be optimized to realize their full potential as catalysts accordingly. In this paper, a monolayer graphene-based ISFET pH sensor is studied by simulating its electrical measurement of buffer solutions for different pH values. Electrical detection model of each pH value is suggested by conductance modelling of monolayer graphene. Hydrogen ion (H+) concentration as a function of carrier concentration is proposed, and the control parameter (Ƥ) is defined based on the electro-active ions absorbed by the surface of the graphene with different pH values. Finally, the proposed new analytical model is compared with experimental data and shows good overall agreement.