Fuzzy Logic based Content Protection for Image Resizing by Seam carving

It is often required that image resizing be done intelligently in order to preserve important content. Most image resizing techniques fail to identify and protect important objects, or produce non-photorealistic images. In this paper, a novel low computation-cost method to protect human features during resizing is presented. Seam carving, an effective image resizing algorithm, fails to protect important objects in images, when either the energy content of the object is low with respect to its surroundings, or, the number of seams removed is very large. A fuzzy logic based protection for seam carving using fuzzy segmentation coupled with neural network skin detection is introduced. Using the above tools the energy image produced in seam carving is manipulated, in order to solve the problems in seam carving while simultaneously achieving content aware resizing with protection of human features.