Now showing items 1-9 of 9

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    Enhancement of digital image by C programming language 

    Darun Kesrarat (Assumption University, 2007)
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    Experimental Analysis of Performance Comparison on Both Linear Filter and Bidirectional Con dential Technique for Spatial Domain Optical Flow Algorithm 

    Darun Kesrarat; Vorapoj Patanavijit (2013)

    Optical flow is a method for classifying the density velocity or motion vector (MV) in a degree of pixel basis for motion classification of image in video sequences. In actual situation, many unpleasant situations usually generate noises over the video sequences. These unpleasant situations corrupt the performance in efficiency of optical flow. In turn to increase the efficiency of the MV, this research work proposes the performance comparison on linear filter and bidirectional confidential technique for spatial domain optical flow ...
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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 

    Darun Kesrarat; Vorapoj Patanavijit (2016)

    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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    Robust Block-Based Motion Estimation for Image Reconstruction Using Bi-direction Confidential 

    Darun Kesrarat; Vorapoj Patanavijit (2014)

    In block-based motion estimation where the outcome of the motion vector (MV) is used to reconstruct the image, noise is one of the major problems that impact the quality of the performance in image reconstruction. There are several aspects to improve the quality of the reconstructed image but we focus on improvement of the accuracy in MV from existing block-based motion estimation algorithms when they applies our proposed model only without other any additional models. Because we would like to prove that our proposed model improves an ...
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    Robust Global Based Spatial Correlation Optical Flow in Bidirectional Confidential Technique with Bilateral Filter 

    Darun Kesrarat; Vorapoj Patanavijit (2015-11)

    Noise is one of the main factors that impact the performance of optical flow where the result in motion vector of optical flow is degraded. Many areas in advance require a result of optical flow as a preprocessing such as super resolution image reconstruction, robot vision, motion estimation, edge detection, motion tracking and etc. Then, the accuracy in the result of motion vector from optical flow is very importance. This paper introduces the robust model of optical flow by using bidirectional confidential technique together with bilateral ...
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    Robust optical flow algorith based on intensity gradient technique for noisy sequences 

    Darun Kesrarat (Bangkok : Assumption University, 2015)
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    Robust Optical Flow Algorithm Based on Spatial Domain Optical Flow 

    Darun Kesrarat (Assumption University)

    In this paper, we focus on the robustness in noise tolerance of spatial domain optical flow. We present a performance study of bidirectional confidential with median filter on spatial domain optical flow (spatial correlation, local based optical flow, and global based optical flow) under non-Gaussian noise. Several noise tolerance models on spatial domain optical flow are used in comparison. The experimental results are investigated on robustness under noisy condition by using non-Gaussian noise (Poisson Noise, Salt & Pepper noise, ...
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    Self-similarity measurement using percentage of angle similarity on correlations of face objects 

    Darun Kesrarat; Paitoon Porntrakoon (2009-07)

    A 2D face image can be used to search the self-similar images in the criminal database. This self-similar search can assist the human user to make the final decision among the retrieved images. In previous self-similar search, a 2D face image comprises of objects and object correlations. The attribute values of objects and their correlations are measured and stored in the face image database. The similarity percentage is specified to retrieve the self-similar images from the database. The problem of previous self-similar search is that the ...
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    Tutorial of motion estimation based on horn-schunk optical flow algorithm in MATLAB 

    Darun Kesrarat; Vorapoj Patanaviji, jt. auth. (Assumption University, 2011)