Improving Quality of a Video through an Optimization Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 7
Abstract
This paper presents a novel approach for video enhancement by the fusion approach using Edge weighted optimization concept. In this we perform the fusion of low resolution source with high resolution (texture) source based on dictionary entries. It is mainly useful in surveillance, fire smoking areas, Robotic Navigation, and segmentation, 3DTVs, floods etc. We consider an enhancement technique for degraded video that relies on examples, i.e based on codebooks containing examples of, how non degraded images should look like'. The solutions presented in previous works avoid an ill -posed problem by using key frames as example. In those dictionaries are constructed as examples of high resolution images. Patches of low resolution images are then matched to the low resolution version of dictionary entries. Once a match is found the low resolution image is super resolved with the aid of full resolution entry. Such a method is here extended and adopted to general repeatable forms of image degradation. In this process we use three weights. These forms three weighting strategies for TOF (Time of flight) super resolution. In this paper we propose a fusion of high resolution video with the TOF video for video quality enhancement than the previous methods. The objective and subjective evaluation results improve the depth accuracy and viewer preference.
Authors and Affiliations
A. Priyanka, Mrs. P. Lakshmi Devi
Keywords
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