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This intelligence by removing redundant data from face images through image compression using Sobel Edge Detection (SED) and comparing this with the two-dimensional discrete cosine transform (2D-DCT) method for the better speed and efficiency.
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This work performs comparative study for three representative works of shadow detection methods each one selected from different category: the first one based on to derive a 1-d illumination invariant shadow-free image, the second one based on a hypothesis test to detect shadows from the images and then energy function concept is used to remove the shadow from the image.
In this paper, we use the transformation of the gradient field for edge suppression which will result into the removal of the shadow from an image.
Key words: Cross -Projection tensors, Energy Function, Gradient field transformation, illuminant in- variance, Shadow Removal.