earticle

영어

In recent years, image retargeting has been an active research topic due to the rapid growth of mobile devices and display screens with different resolutions and aspect ratios. To address this problem, various content-aware image-retargeting approaches have been proposed to retarget images while preserving important regions and minimizing distortions. In our research, the goal is to propose a new integrated content-aware image retargeting system that outperforms other traditional approaches. At the beginning, an improved context-aware saliency detection approach is applied for detecting low-level saliency. Then, a high level salient feature—human faces—is also incorporated using an improved Viola-Jones face detector with a skin color detector as a post-processing stage, to construct the final importance map. Finally, a non-uniform image scaling approach is employed as the retargeting stage. Experimental study over a set of 74 benchmark images demonstrated that the proposed system overcomes most of the drawbacks of other existing approaches.