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| Title: | Robust Video Denoising for Better Subjective Evaluation |
| Authors: | Acharya, A
Meher, S |
| Keywords: | Image and video processing
Video denoising
spatial averaging filter
highboost filter
human visual system (HVS)
subjective evaluation
additive white Gaussian noise |
| Issue Date: | Nov-2011 |
| Citation: | International Conference on Image and Information Processing ICIIP-2011, waknaghat, Solan, H.P. |
| Abstract: | Video denoising is a pre-processing step of many
high level video processing applications since it can considerably enhance the perceived video quality, increase compression effectiveness, facilitate transmission bandwidth reduction and
improve the performance of the subsequent higher level task such as feature extraction, object detection, prediction, coding and object tracking. In this paper, a new scheme for video
denoising based on spatial filtering is proposed which synthesizes the blurring caused by averaging filter and sharpening due to
high boost filter for effective objective and subjective video quality enhancement. The main drawback of averaging filter is that it gives a blurring effect and de-emphasizes the fine details
from an image such as edges and texture. This blurring artefact is compensated through highboost filtering operation by selecting an appropriate value of the highboost weight factor
intended for better video quality and superior HVS performance. Exper... |
| Description: | Copyright belongs to proceeding publisher |
| URI: | http://hdl.handle.net/2080/1560 |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| Robust Video Denoising.pdf | | 1243Kb | Adobe PDF | View/Open |
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