Image Resizing based on Summarization by Seam Carving using saliency detection to extract image semantics

ABSTRACT Image Processing is an important technology for performing image operations. The analysis and manipulation on a digitized image helps to improve its quality. Image Processing offers a number of techniques to process an image such as Image Resizing, Image Enhancement etc. Image resizing is a key process for displaying visual media on different devices, and it has attracted much attention in the past few years. This paper defines preserving an important region of an image, minimizing distortions, and improving efficiency. Image Resizing can be more effectively reached with a better interpretation of image semantics. A new image importance map and a new seam criterion for image retargeting is presented. Content-aware image resizing is a promising theme in computer vision and image processing. The seam carving method can effectively achieve image resizing which needs to define image importance to detect the salient context of images.