The invention discloses a content-based image self-
adaptation method with the combination of rapid
seam carving and non-uniform mapping, and relates to the field of
image processing. The content-based image self-
adaptation method integrates advantages of a
seam carving method and a non-uniform mapping method, and solves the problems that the speed is low and the effect is poor when the rapid
seam carving method and the non-uniform mapping method are combined. The content-based image self-
adaptation method comprises the steps that firstly, the rapid seam
carving method based on a strip and the adjacent degree is adopted, meanwhile, a rapid quality evaluation method is adopted, and important information deformation is monitored; when the deformation exceeds a set index, the seam
carving method is stopped, and the non-uniform mapping method is executed, so that image self-adaptation is rapidly achieved, and meanwhile the image semantic content is better kept. According to the content-based image self-
adaptation method, whether an image deforms and distorts or not and whether important information is lost or not are used as the judgment criteria, important regional information is effectively protected, the important region is zoomed in an equal proportion mode and does not deform, and the non-important region is compressed, so that
global information is ensured.