An image and video resizing algorithm was proposed based on importance map diffusion and adaptive scaling.It compromised between the protections of image content and important regions.To avoid the image distortion by exces-sive deletion of un-important regions

the importance of current row and column was spread to their neighboring pixels.To protect importance regions

different weighting coefficients were allocated to every row and column in terms of their importance by adaptive scaling function.Moreover

it was also effective for video resizing by incorporating the constraint of temporal coherency.Experimental results show that compared with other techniques such as cropping and seam carv-ing

satisfactory results were achieved by the proposed approach.