Darun Kesrarat
Assumption University
Motion estimationSalt-and-pepper noiseAlgorithmIterative reconstructionNoisePeak signal-to-noise ratioOptical flowAdditive white Gaussian noiseSpeckle noiseValue noiseGradient noiseNoise powerMotion vectorComputer visionMathematicsComputer scienceGaussian noiseHS algorithmMedian filterShot noise
33Publications
4H-index
52Citations
Publications 33
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Vorapoj Patanavijit (Assumption University)H-Index: 7
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Kornkamol Thakulsukanant (Assumption University)H-Index: 3
Last. Vorapoj Patanavijit (Assumption University)H-Index: 7
view all 3 authors...
Because of the feasible and impressive fallout, the classical Super-Resolution Reconstruction (SRR) is the contemporary algorithm for improving spatial information and reducing noise and SISR (Single-Image Super-Resolution) method, which is form on the classical SRR, is solely developed for improving spatial information. Disastrously, deficiency of the classical SISR method is conceptually computed from three specifications (b, h, k) and the simulating calculation of the optimized specifications...
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Vorapoj Patanavijit (Assumption University)H-Index: 7
This paper presents the using of adaptive Lorentzian influence with the global method optical flow for noise resistance on the visual progression. In particular, optical flow is the pattern of apparent motion of image objects between two consecutive frames caused by the movement of object or camera. It is 2D vector field where each vector is a displacement vector showing the movement of points from the first frame to second. When the image flow is degraded by noise, the performance for approxima...
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Kornkamol Thakulsukanant (Assumption University)H-Index: 3
Last. Vorapoj Patanavijit (Assumption University)H-Index: 7
view all 3 authors...
Super-resolution (SR) algorithm, which intends to compute a finer resolution from a single inferior image or many inferior images, plays a vital aspect in several leading-edge digital image processing in both theory and implementation perspectival. To provide a very high ratio rate of spatial enhanced image, we proposed a super resolution algorithm, which is unified on a Leclerc stochastic estimation super resolution algorithm and a single image super resolve algorithm. At the first process, a L...
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Vorapoj Patanavijit (Assumption University)H-Index: 7
This paper introduces the using of adaptive Lorentzian norm influence function with the local based optical flow to achieve the robustness in noise interference on the image flow. In particularly, optical flow is the approach to approximate the motion flow from the image flow or video. When the image flow is contaminated or interfered by noise, it directly affects the performance of the optical flow to approximate the motion flow. We confirm better noise tolerance in local based optical flow whe...
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Jun 1, 2017 in ECTI-CON (International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology)
#1Darun Kesrarat (Assumption University)H-Index: 4
#2Vorapoj Patanavijit (Assumption University)H-Index: 7
In optical flow for motion approximation, the productive result in motion vector (MV) is an important issue for video reconstruction. Different in noisy conditions may cause the unreliable result in optical flow algorithms. A lot of robust optical flow algorithm was proposed for noise overthrown to increase the certain result under noisy conditions. This paper focuses on the efficiency of bidirectional local based optical flow with a bilateral filter on video reconstruction where the video seque...
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