Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : BOUNDARY DETECTION BASED IMAGE SUPER-RESOLUTION TECHNIQUE USING SMSR ALGORITHM
Volume 03 Issue 08 2016
ISSN no: 2348-3121
Page no: 171-175
Abstract – Image segmentation is an essential procedure in many application of image processing. Image segmentation can be classified to boundary and contour representation. Each representation is identification of homogeneous region or contour of local inhomogenity, respectively. In v1 cells that are specific not to cones but to colors themselves. These neurons are called color opponent cells. A class of color sensitive cells called double opponent cells. Double-opponent cells have a center which is excited by one color and surrounded by the other. Double-color opponency mechanism is used for detecting the contour of image. The quantity of cone input information is balanced means the image are achromatical unbalanced means the image are chromatical. In addition SSC operator is to remove unwanted edges of the texture element. I have proposed a new framework for SMSR algorithm(structure modulator sparse representation), sparse representation is used to generate the high resolution output image from the low resolution input image. To improve the visual quality of blur image. The proposed model has the additional advantage of quite simple implementation and low computational cost.
Keywords— Boundary,color opponent, SSC operator ,image super-resolution,SMSR method
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