[書籍 ][B] Algorithms for efficient computation of convolution
Convolution is an important mathematical tool in both fields of signal and image processing.
It is employed in filtering [1, 2], denoising [3], edge detection [4, 5], correlation [6] …
It is employed in filtering [1, 2], denoising [3], edge detection [4, 5], correlation [6] …
Fast alignment using rotation vector and adaptive Kalman filter
A fast and convenient alignment method is proposed. To improve the speed of convergence,
we used rotation vectors instead of traditional Euler angles. Furthermore, we developed an …
we used rotation vectors instead of traditional Euler angles. Furthermore, we developed an …
Casimir force between two ideal-conductor walls revisited
B Jancovici, L Šamaj - Europhysics Letters, 2005 - iopscience.iop.org
The high-temperature aspects of the Casimir force between two neutral conducting walls are
studied. The mathematical model of" inert" ideal-conductor walls, considered in the original …
studied. The mathematical model of" inert" ideal-conductor walls, considered in the original …
Cloud resource provisioning for Amazon EC2
VK Bhise, AS Mali - 2013 fourth international conference on …, 2013 - ieeexplore.ieee.org
The Cloud Computing can be used as a buzzword for the big turn to an IT world where
computing resources provided over the internet can be acquired from IaaS providers with …
computing resources provided over the internet can be acquired from IaaS providers with …
Efficient mapping of a Kalman filter into an FPGA using Taylor expansion
Y Liu, CS Bouganis… - … Conference on Field …, 2007 - ieeexplore.ieee.org
The Kalman filter is widely used as an estimator in many modern applications. In the case
where its implementation in hardware is required, the computational complexity of the …
where its implementation in hardware is required, the computational complexity of the …
Wavelet domain-based video noise reduction using temporal discrete cosine transform and hierarchically adapted thresholding
N Gupta, MNS Swamy, EI Plotkin - IET Image Processing, 2007 - IET
A novel spatio-temporal filter for video denoising, which operates entirely in the wavelet
domain, is proposed. For effective noise reduction, the spatial and temporal redundancies …
domain, is proposed. For effective noise reduction, the spatial and temporal redundancies …
Image processing apparatus for reducing effects of fog on images obtained by vehicle-mounted camera and driver support apparatus which utilizes resultant …
M Haseyama - US Patent 8,098,890, 2012 - Google Patents
Kalman filter processing is applied to each of Successive images of a scene obscured by
fog, captured by an onboard camera of a vehicle. The measurement matrix for the Kalman …
fog, captured by an onboard camera of a vehicle. The measurement matrix for the Kalman …
Computationally efficient video restoration for Nyquist sampled imaging sensors combining an affine-motion-based temporal Kalman filter and adaptive Wiener filter
M Rucci, RC Hardie, KJ Barnard - Applied optics, 2014 - opg.optica.org
In this paper, we present a computationally efficient video restoration algorithm to address
both blur and noise for a Nyquist sampled imaging system. The proposed method utilizes a …
both blur and noise for a Nyquist sampled imaging system. The proposed method utilizes a …
Analysis of real-time tracking filters implementation in FPGA
This paper presents real time tracking hardware based on field programmable gate arrays
(FPGA). Traditionally, tracking system is simulated in MATLAB environment and an …
(FPGA). Traditionally, tracking system is simulated in MATLAB environment and an …
A class of Kalman filters for real-time image processing
PA Laplante, CJ Neill - Real-Time Imaging VII, 2003 - spiedigitallibrary.org
In this paper we derive the object-oriented requirements and a design for a class of Kalman
filters suitable for real-time image processing. First, we describe the Kalman filter and we …
filters suitable for real-time image processing. First, we describe the Kalman filter and we …