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ItemThe Bilateral Denoising Performance Influence of Window, Spatial and Radiometric Variance( 2015-08) Vorapoj PatanavijitIn 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: spatial variance, radiometric variance and window size. Consequently, this paper investigates the performance influence impact of spatial variance, radiometric variance, window size for the Bilateral Filter in the denoise propose. In the denoise experiment, Bilateral filter (BF) is applied on three noisy standard images under five Gaussian noise power levels and the best results in the PSNR prospective point of view from deniose algorithm is picked. Moreover, an optimal value of three parameters: spatial variance, radiometric variance, window size, which make the performance of Bilateral filter the highest PSNR, are extensively investigated for each types of tested images and each noise powers.
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Item4x4 High-Magnification Image Reconstruction Based on Hybrid of Multi-frame SR Approach and Image Super Resolve Algorithm( 2015-11) Vorapoj PatanavijitFrom 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 each polluted low resolution images. Next, the 2x2 magnified image is reconstructed by using image super resolve algorithm based on the high-frequency image prediction to be the 4x4 magnified image. In the performance testing section, the outcomes on both benchmark (in PSNR) and virtual quality, contrasting with previous classical algorithms from the research literature (such as a classical interpolation technique, a classical SRR and an image super resolve algorithm), expose that the proposed hybrid framework has the better performance in both benchmark (in PSNR) and virtual quality.
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ItemAn optimal performance investigation for bilateral filter under four different image types( 2015-11) Vorapoj PatanavijitThe 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 the noise power and the details of image. If the noise power is high, the parameters should be set at high levels. These values should be decreased on the increasing in an SNR. Second, we determine the appropriate types of image that the bilateral filter can be applied to perform filtering. Then, we compare bilateral filter’s performance to Gaussian filter and switching bilateral filter. The simulation results show that the bilateral filter gives the best performance when perform de-nosing of aerial, face and object image where the detail of these images are less than texture image.
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ItemBall On The Plate Model Based on PID Tuning Methods( 2016) Narong Aphiratsakun ; Otaryan, NaneController 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-Control tests). The paper can be useful for readers who want to have a basic knowledge of research assignments based on PID tuning.
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ItemDesign and Development of a Flood Warning System via Mobile and Computer Networks( 2016-01) Anand DersinghEnvironmental 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 are then sent to a server over the Internet via a cellular data network, which are stored on a database and processed to determine early warning of flood in the area based on historical data. A web application and a mobile application have been designed and developed for users to view measured data. Moreover, the mobile application is capable of receiving a push notification of a warning message of potential flooding.
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ItemPeople Identification and Counting System Using Raspberry Pi( 2016-01) Tussanai ParthornrattThe 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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ItemPiFrame: A Framework for Home Automation Platform on the Full Feature OS( 2016-01) Pasd PutthapipatThis 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.