Now showing items 1-7 of 7

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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 weighted ...
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    Multiframe resolution-enhancement using a robust iterative SRR based on leclerc stochastic technique 

    Vorapoj Patanavijit (2009-10)

    This paper proposes a multiframe resolution-enhancement using a robust iterative SRR (Super-Resolution Reconstruction) for applying on images that is corrupted by several nose models. Typically, the success of SRR algorithms is highly dependent on the model accuracy regarding the imaging process. The real noise models corrupting the measure sequence are unknown hence SRR algorithms using L1 or L2 norm may degrade the image sequence rather than enhance it. The proposed enhancement algorithm is based on the stochastic regularization SRR technique ...
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    Performance evaluation of L1, L2 and SL0 on compressive sensing based on stochastic estimation technique 

    Ha, Pham Hong; Vorapoj Patanavijit (2010-05)

    In this paper, we proposed 2 algorithms based on L1 and L2 norm estimator to recover the signal by using just few components. Moreover we comprehensively present the recovery algorithm based on L1, L2 and SL0 for digital signal or image under some several noise models from their incomplete observation. The proposed algorithm is used with a matrix that the number of row is much fewer than the column. The algorithm states that if signal or image is sufficient sparse, we can recover it from small number of linear measurement by solving convex ...
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    Super-resolution reconstruction and its future research direction 

    Vorapoj Patanavijit (Assumption University, 2009)
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    Tutorial on image reconstruction based on weighted sum (WS) filter approach: from single image to multi-frame image 

    Vorapoj Patanavijit (Assumption University Press, 2009)

    For large magnification factors, the prior classical smoothness leads to overly smooth results with very little high-frequency content. The classical image restorations are failing to reconstruct the desired image. Consequently, the Recognition-Based Restoration is desired for these purposes and one of the most effective techniques is of a weighted sum (WS) filter. This paper reviews the research framework of weighted sum (WS) filter approach for image reconstruction. This research framework first starts with the Hard-Partition-based Weighted ...
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    Video enhancement using a robust iterative SRR based on a German&McClure stochastic estimation with a general observation model 

    Vorapoj Patanavijit (2010-05)

    This paper proposes the novel robust SRR algorithm that can be effectively applied on the sequence that are corrupted by various noise models and can be applied on the real or standard sequence. First, the proposed SRR algorithm is based on the German&McClure norm that used for measuring the difference between the projected estimate of the high quality image and each low high quality image and for removing outliers in the data. Second, in order to cope with real video sequences and complex motion sequences, the proposed SRR is based on a general ...