Automatic Image Matting

Image matting aims at extracting foreground from a given image by means of color and alpha estimation.

Automatic image matting. Spectral matting is the state of the art image matting and also a milestone in theoretic matting research. Label maps which cannot be used for natural image matting. Image matting has been applied not only in image or video editing but also in object classification detection and recognition 5 34 46. Add elegance and protection when framing photos or artwork by adding a frame mat in a complementary color.

In order to accomplish this goal a new end to end convolutional neural network cnn based framework is proposed taking the input of a portrait image. In order to accomplish this goal a new end to end convolutional neural network cnn based framework is proposed taking the input of a portrait image. This method does not need user interaction which was however essential in most previous approaches. Most of the state of the art matting algorithms require human intervention in the form of trimap or scribbles to generate the alpha matte form the input.

An automatic matting method based on saliency detection was proposed in this paper which takes the advantages of saliency detection as prior information instead of user interaction. Tensorflow implementation of automatic portrait matting on paper automatic portrait segmentation for image stylization apache 2 0 license 459 stars 145 forks. We propose an automatic image matting method for portrait images. This paper presents a modified spectral matting to obtain automatic and accurate image matting.

After getting the saliency map a cost function was constructed to obtain an alpha matte. This method does not need user interaction which was however essential in most previous approaches. Although it has been studied for more than two decades yet there is a challenge of developing an automatic matting algorithm which does not require any human efforts. However using spectral matting without user guides the accuracy is usually low.

Choose one of our acid free pre cut mats or customize an uncut matboard. Contribute to aromazyl auto portrait matting development by creating an account on github. Image matting is a longstanding problem in computational photography. In image matting a common image takes time to be dealt with so how to realize real time automatic and fast image segmentation is an extremely important and urgent problem to be solved.

It outputs the matte result. We propose an automatic image matting method for portrait images.