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วีดิทัศน์
Recent Submissions
Inauguration of the “Bro. Martin Pendulum” Landmark
(2020-11-11)
ปรมิตร ศรีกุเรชา
(2012)
Decomposing BPC Permutations into Semi- Permutations for Crosstalk Avoidance in Multistage Optical Interconnection Networks
(2015)
This paper introduces a simple O(N)
algorithm that decomposes BPC (bit-permutecomplement)
permutations into semi-permutations for
avoiding crosstalk when realizing them in N × N optical
multistage interconnection networks (OMINs). Crosstalk
means that two optical signals, sharing an optical switch,
undergo a kind of undesired coupling. A semipermutation
is a partial permutation which meets the
requirement for each switch in an input and output
stages of the network to be used with only one optical
signal at a time. It provides avoidin...
Damped Oscillator under Stokesian Realm and Added-Mass Effects
(2015)
This article presents the modeling and simulations
of a sphere that oscillates vertically in a high-viscosity liquid.
The sphere is connected to a linear spring and given an initial
displacement from the equilibrium position to allow free
vibration and the sphere undergoes the inertia force, the spring
force, the drag force, the buoyancy force, the gravity force, and
the added-mass force. In general, the added-mass force is not
considered in modeling an oscillator. In this article, the
added-mass force is included in the modeling to ref...
Bidirectional Confidential with Bilateral Filter on Local Based Optical Flow for Image Reconstruction under Noisy Condition
(2015)
More than a decade, Optical flow is relevant in many areas
such as video coding and compression, robot vision, object
tracking and segmentation, and super resolution
reconstruction. By the result of the motion vector from optical
flow, reduction the error stands a problem especially under
noisy condition. Many models have been proposed to reduce
the error and bilateral is one of the popular models. This
paper introduces the model of bilateral filter in combination
with bidirectional confidential over simple local based optical
flow whe...
Performance and Comparative Exploration of Reconstructed Quality for An Iterative SRR Algorithm Based on Robust Norm Functions Under Several Noise Surrounding
(2014)
The multi-frame SRR (Super Resolution
Reconstruction) algorithm has become the significant theme in
digital image research society in the last ten years because of its
performance and its cost effectiveness hence many robust norm
functions (both redescending and non-redescending influence
functions) have been usually incorporated in the multi-frame
SRR framework, which is combined a stochastic Bayesian
approach and a regularization technique into the unify SRR
framework. Consequently, this paper thoroughly presents
experimental explora...
Performance Investigation on Bilateral Filter with Confidence Based over Spatial Correlation-based Optical Flow for Image Reconstruction
(2014)
Optical flow in image sequences gives essential
data on motion structure. It is relevant in several areas such as
robot vision, video coding, and super resolution reconstruction.
Even though this realm has been concentrated for more than a
decade, reduction the glitch in estimation stands a difficult
trouble. Many techniques were proposed to enhance the
performance and one of the most is bilateral filter. This paper
presents the performance study of bilateral filter and bilateral
filter together with confidence based over spatial correl...
A Performance Impact of An Edge Kernel for The High-Frequency Image Prediction Reconstruction
(2014)
As a rule, the performance of almost digital image
processing (DIP) algorithms and these applications directly
depends on the spatial resolution of observed input images.
Unfortunately, from the current image sensor technology, it is
hard to take sufficient high spatial resolution images from
commercial devices therefore the fantastic research attempts and,
consequently, simple digital image resolution enhancements have
been boosted in the last decade. The high-frequency image
prediction reconstruction is the simple and effective algori...
Empirical Exploration Achievement of Noise Removal Algorithm Based on Trilateral Filter for Both Gaussian and Impulsive Noise Ambiance
(2016-06)
Although the Bilateral filter is one of the most
realistic and virtuoso noise removal algorithms, which is
often proposed for Gaussian noise in 1998, the Bilateral
filter (BF) ineffectively works under the impulsive noise.
Consequently, Trilateral filter (which is a modification
Bilateral filter) was first proposed by Roman Garnett et al.
in 2005 and this filter is based on the hybrid consisting of
Bilateral filter and Rank-Ordered Absolute Differences
(ROAD) statistic for automatically attenuating or
excluding of Gaussian and impulsiv...
The Switching Bilateral Denoising Performance Influence of Spatial and Radiometric Variance
(2016-06)
In this paper, we investigate the
performance of switching bilateral filter (SBF)
influenced by two parameters — radiometric variance
( R
σ ) and spatial variance ( S
σ ). The SBF can be used to
filter Gaussian noise and impulse noise at the same
time. For SBF, R
σ and S
σ are the two most important
factors that affect increasing /decreasing the
performance of SBF. Then, we investigate the influence
of two parameters by varying their values from 1 to 100
and evaluate the performance of the de-noising for
seven types of image under...