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ABSTRACT
ISSN: 0975-4024
Title |
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Performance evaluation of filters VDF and VMF against impulsive noise in video sequences |
Authors |
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Mohamed Ben Amor, Anis Boudabous, Fahmi Kammoun, Nouri Masmoudi |
Keywords |
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VDF filter, VMF filter, PSNR, SSIM, DVQ, CSF "contrast sensitivity function", Impulsive noise, Video sequences |
Issue Date |
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Apr-May 2016 |
Abstract |
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In this paper, we present a study on VDF and VMF filters in terms of efficiency for filtering impulsive noise in video sequences. These nonlinear filters are used in improving the quality of image/video and especially the noise attenuation and detail preservation of the image/video. We evaluate the performance of the two filters by using three CIF (Common Intermediate Format) sequences (Akiyo, Foreman and Tb420). We used for the evaluation of filter performance three quality assessment criteria (PSNR, SSIM and DVQ). For all quality metrics (PSNR, SSIM, DVQ), we can conclude that the VDF filter gives poor quality scores compared same to the noise sequence. On the other hand, the VMF filter provides good performance against impulsive noise. We test the performance of two filters using our metric PSNR with CSF. For short viewing distance, the VMF filter is more efficient for the less eventful sequences. For long viewing distance, the VMF filter is more efficient for the most animated sequences. |
Page(s) |
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625-634 |
ISSN |
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0975-4024 |
Source |
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Vol. 8, No.2 |
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