| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === We present a tangent flow-based image abstraction framework that turns input colored image or grayscale image into a two-tone image, which contains only black and white color, but remains the sufficient information such that the viewer can still recognize the main content of the original image by observing the output two-tone image only. We use filters to smooth the input image in order to reduce the contrast in low contrast regions, and enhance some important features, for example, the edges. Then we turn the image into a two-tone image as output. We can reduce the size of the image significantly but still remains sufficient information to capture the main point of the image through our method. At the end of our process, we provide a smoothing step to smooth the two-tone image. Through this step, we can get an artistic black-and-white image.
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