IR-WCO2C An Enhanced Multi Operators-Based Approach for Content-Aware Image Retargeting

In recent years, image retargeting (IR) problem has been discussed as one of the challenging topics in the field of image processing in different applied domains. In this paper, a multi operators hybrid method is proposed (IR-WCO2C) to improve performance of a IR system, which performed in three sub-systems. At first, the identification precision of important regions is enhanced using a feature extraction technique based on wavelet coefficients (WC) then identified the saliency map of images. In second sub-system, this saliency map is used to improve performance of seam carving process instead of the saliency map identified by conventional methods. Finally, the act of operator selection is improved using metaheuristic techniques to optimize the process of operators combination. Comparing the proposed method and conventional methods, it is observed that accuracy of IR-WCO2C method is higher than understudy methods in different stages of the IR process.