Reliable estimation of visual perception reflects the understanding of the meaningful structure in an image. In this paper

we describe a complete abstraction framework for images and videos that explicitly responds to this goal. The method stylizes salient images or video parts and non-salient images or video parts differently by an edge preserving filter

and keeps a harmonious transition between the two parts. First

we introduce an automatic salient object segmentation algorithm to distinguish salient regions

and it is a saliency computation based local spatial neighbors. Taking into account the actual needs

we provide an interactive technology

which can be convenient for specifying image salient structure information on purpose. Based on the generated salient structure information mask

we use a single-scale anisotropic filter to process the salient parts

and use a multi-scale anisotropic filter to process the non-salient parts so that we can implement a strong abstraction effect.The proposed method generates a kind of image and video abstraction that does not only represent a preferable visual effect

but also can be applied to the implementation of another non-photorealistic rendering (NPR)result after soft image quantization. Experiments show that our algorithm could get the desired result for processing a certain number of images and videos.