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The colors in universe have sharp boundaries everybody is aware of specifically wherever a color starts and wherever it ends and that any color communicates the details about the targets in the scene in a much better way and that this detailed information can be used to further polish the interpretation of an imaging system. In this paper, the proposed subpixel level arrangements of spatial dependences...
Super-resolution is an algorithm, which is capable of producing a high resolution output image with low resolution input image. This paper present a novel approach for producing high quality-high resolution image, which contain NE-based learning and fast edge filtered image reconstruction based on slope-limiter function. By using this approach, the produced high-resolution image maintain discontinuity...
Face tracking has become an active area of research it is very much helpful in applications such as video surveillance. The factors like illumination discrepancy, face pose variations, occlusions, and background clutter makes face tracking a challenging issue. Even though, a number of related work have been proposed to assist face tracking in unrestrained videos, the existing approaches may not be...
In this paper a new approach for image enhancement considering pixel intensity variation for interpolation is presented. This technique determines edges by comparing the intensity variations between centre pixel and its neighboring pixels of window size 5 5. On the basis of designed thresholds, extrapolated blank pixels are filled. The sliding window 5 5 size gives better result over window size 3...
This paper presents a new approach to enhance resolution of the image using interpolation on filtered image. It is evident that low frequency filtered image smoothes the image, though the high frequency filtered image presents sharp change in intensity of the image. Interpolating high frequency filtered image and combining with interpolated low frequency image preserves edge information. Cubic spline...
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