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    Empirical Exploration Achievement of Noise Removal Algorithm Based on Trilateral Filter for Both Gaussian and Impulsive Noise Ambiance 

    Vorapoj Patanavijit (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...
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    The Switching Bilateral Denoising Performance Influence of Spatial and Radiometric Variance 

    Vorapoj Patanavijit (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...
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    Experimental Study on Image Reconstruction from Spatial Correlation-based Optical Flow Motion Vector over Non Gaussian Noise Contamination using Reversed Confidential with Bilateral Filter 

    Vorapoj Patanavijit (2016-06)

    In motion estimation, noise is a verity to degrade the performance in optical flow for determining motion vector. This paper examines the performance of noise tolerance model in spatial correlation-based optical flow for image reconstruction from motion vector where the source sequences are contaminated by non Gaussian noise. There are Poisson Noise, Salt & Pepper Noise, and Speckle Noise. In the experiment, several standard sequences in different styles are used and the applied combination model of reversed confidential with bilateral...
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    An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter 

    Vorapoj Patanavijit (2016-06)

    In this paper, we propose an alternative technique for image reconstruction which it is combined existing methods for better performance in spatial domain using the median (MED) filter based on partition weighted sum (PWS) filter. Four noise models are considered including additive white Gaussian noise (AWGN), poission noise (PN), salt and pepper noise (SPN) and speckle noise (SN) under different image types such as aerial image, face image, scenic image, and text image. The simulation results show that the median based partition weight...
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    People Identification and Counting System Using Raspberry Pi 

    Tussanai Parthornratt (2016-01)

    The work in this paper focuses on an implementation of OpenCV in an embedded system like raspberry Pi to create a mini-standalone station for counting people. The key feature of AU-PiCC (Assumption University's raspberry Pi Customer counter) is to count a number of interested people on target product in a pre-defined area along with a simple face identification to avoid counting duplicates. The experimental results show that this raspberry Pi-based system can be used as a simple people counter station.
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    PiFrame: A Framework for Home Automation Platform on the Full Feature OS 

    Pasd Putthapipat (2016-01)

    This work provides the framework for implementing the embedded systems on the embedded computer that running full-feature OS to shorten the development cycle and reduces the embedded system limitation. The Raspberry Pi, running the full-feature Linux, is used as the based system of the framework with the additional development of software environment and general purpose hardware extension. The framework can be used for both education and research.
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    Design and Development of a Flood Warning System via Mobile and Computer Networks 

    Anand Dersingh (2016-01)

    Environmental data plays an important role in forecasting and warning of possible natural disaster such as flooding. Thailand faced a major flood in 2011, which at that time lacks automated mechanism in collecting environmental data and warning system. This work presents the design and development of a flood warning system. The system contains an embedded data acquisition module that can be placed in a remote area in order to collect environmental data such as amount of rainfall, water level, and image periodically. The collected data ...
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    Ball On The Plate Model Based on PID Tuning Methods 

    Narong Aphiratsakun; Otaryan, Nane (2016)

    Controller design is one of the important steps during the modelling of various systems, starting with constructing an electric kettle to an aircraft system. To achieve a good controller it is needed to define suitable values for the controller coefficients. This paper describes the research practices of the tuning technique by using MATLAB/Simulink compared with manually PID tuning based on the trial and error process, as well as, PID tuning methods from Ziegler- Nichols and Tyreus-Luyben (closed-loop proportional gain control or P-Co...
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    An optimal performance investigation for bilateral filter under four different image types 

    Vorapoj Patanavijit (2015-11)

    The merit of bilateral filter is that it preserves the edges of the image and smooth the image at the same time. This can be done by controlling two important parameters — spatial domain parameter and range domain parameter. The contribution of this paper is two-fold. First, we investigate the optimal parameters of the bilateral filter under four different types of images — aerial, face, object and texture. The simulation results show that the parameters — spatial domain parameter and range parameter — should be changed depending on th...
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    An Alternative Single-Image Super Resolution Framework Employing High Frequency Prediction Using A Robust Huber Rational Function 

    Vorapoj Patanavijit (2015-11)

    In general prospective, SI-SR or Single-Image Super-Resolution, which is one of the most useful algorithms of Super Resolution-Reconstruction (SRR) algorithms, is a mathematical procedure for acquiring a high-resolution image from only one coarse-resolution image, which is usually computed by Digital Image Processing (DIP). Even thought there have been substantially researched during the last decade, Single - Image Super-Resolution for applying on real implementations still keeps throw down the gauntlet. One of the practical Single- Im...
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    4x4 High-Magnification Image Reconstruction Based on Hybrid of Multi-frame SR Approach and Image Super Resolve Algorithm 

    Vorapoj Patanavijit (2015-11)

    From tremendously soliciting high quality and high resolution images, sundry image reconstruction algorithms have been researched and implemented during the last fifteen years, especially for high-magnification image reconstructions. In this paper, we develop high-magnification image reconstruction based on hybrid of a multi-frame SR approach and an image super resolve algorithm for 4x4 magnifying in resolution. First, a group of polluted low resolution images are amalgamated for 2x2 magnifying in resolution and suppressing the noise in...
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    The Bilateral Denoising Performance Influence of Window, Spatial and Radiometric Variance 

    Vorapoj Patanavijit (2015-08)

    In the research operation of Digital Signal Processing (DSP) and Digital Image Processing (DIP), one of the most essential obstacles is the image denoise algorithm by the reason of a very large demand of high quality noise-free images therefore there are many image denoise algorithms have been invented in the time of two decades. Bilateral filter is one of the most impressive and feasible algorithms, which is usually applied for denoise propose, but the performance of the Bilateral filter is substantially bank on three parameters: spati...
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    Tracking of High-speed, Non-smooth and Microscale-amplitude Wave Trajectories 

    Jiradech Kongthon (2016-07)

    In this article, an inversion-based control approach is proposed and presented for tracking desired trajectories with high-speed (100Hz), non-smooth (triangle and sawtooth waves), and microscale-amplitude (10 micron) wave forms. The interesting challenge is that the tracking involves the trajectories that possess a high frequency, a microscale amplitude, sharp turnarounds at the corners. Two different types of wave trajectories, which are triangle and sawtooth waves, are investigated. The model, or the transfer function of a piezoactuator ...
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    Conceptual Framework of Super Resolution Reconstruction Based on Frequency Domain From Aliased Multi-Low Resolution Images: Theory Part 

    Vorapoj Patanavijit (2016)

    Typically, a spatial resolution (Pixel per Area) is an important factor used to define the image quality. Due to the dramatically advance of digital image processing in this decade, high resolution (HR) images are in demand because HR images give more detail and information that directly impact their application performance. Today, there are several techniques that can capture high resolution images such as resolution increment by reducing pixel side. Consequently this high resolution sensor is so expensive and do not proper for general applica...
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    A Conceptual Framework of Super Resolution Reconstruction (SRR) Techniques 

    Vorapoj Patanavijit (2016)

    Typically, a spatial resolution (Pixel per Area) is an important factor used to define the image quality. Due to the dramatically advance of digital image processing in this decade, high resolution (HR) images are in demand because HR images give more detail and information that directly impact their application performance. Today, there are several techniques that can capture high resolution images such as resolution increment by reducing pixel side. Consequently this high resolution sensor is so expensive and do not proper for general ap...
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    A Modified- Fast Spectrum Sensing with Coordinate System under Path Loss Effect and Noise Uncertainty for Cognitive Radio Networks 

    Vorapoj Patanavijit (2015-09)

    Spectrum sensing is a critical function for cognitive radio which is used to continually monitor the activities of PU in the licensed spectrum band. In this paper, we first re-derive some parameters of FSC algorithm, which is called Modified- fast spectrum sensing with coordinate system (MFSC), to perform spectrum sensing under path loss effect and noise uncertainty. Then, performance of three knowledgebased spectrum sensing techniques — MFD, LED and MFSC — are evaluated under path loss effect and noise uncertainty. From the simulation res...
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    A performance impact of Andrew’s Sine threshold for a robust regularized SRR based on ML framework 

    Vorapoj Patanavijit (2016)

    One of the most successful Digital Image Reconstruction (DIR) techniques for increasing image resolution and improving image quality is the Super-Resolution Reconstruction (SRR), which is the procedure of integrating a collection of aliased low-resolution low-quality images to form a single high-resolution high-quality image. However, the mainstream SRR algorithms are too delicate to noisy environments because these mainstream SRR algorithms are often comprised by the ML (L1 or L2) estimation techniques thereby the new robust SRR algorithm, whi...
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    Comparative Experimental Exploration of Robust Norm Functions for Iterative Super Resolution Reconstructions under Noise Surrounding 

    Vorapoj Patanavijit (2015)

    In DIP (Digital Image Processing) research society, the multi-frame SRR (Super Resolution Reconstruction) algorithm has grown to be the momentous theme in the last ten years because of its cost e ectiveness and its superior spectacle. Consequently, for a multi-frame SRR algorithm which is commonly comprised of a Bayesian ML (Maximum Likelihood) approach and a regularization technique into the unify SRR framework, numerous robust norm functions (which have both redescending and non-redescending in uence functions) have been commonly c...
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    An Adaptive And Statistical Efficiency Myriad Filter For A Recursive Image Reconstruction Using a Multi-Frame SRR Algorithm With A Stochastic Regularization For Video Sequences 

    Vorapoj Patanavijit (2015-09)

    In real applied implementations, a collection of classical linear filtering theories, for example, a Median filter and a Mean filter, can be only applied to the Gaussian noise environments due to the fact that these linear filters usually gives the poor performance under the presence of non-Gaussian noise environments. Because of the motion estimation blunder and observation process error, which are usually caused from real electronic noise, non-accurate optical devices or mathematical simplification models of observed process systems, the...
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    Improved Bandwidth Allocation In Cognitive Radio Networks Based on Game Theory 

    Bhattarai, Amulya; Patrachart Komolkiti; Chaodit Aswakull (2013-05)

    In this paper, an improved method for bandwidth allocation in a Cognitive Radio Network based on game theory is presented. In this work, utility has been modified by inserting weights to the three terms, received power, interference to other links and interference from other links. Inserting weights enables us to treat different CRN scenarios separately and appropriately as per the requirement of the administrator. Moreover, a suitable performance index for a CRN that considers throughput and interference to other links has been introdu...
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